143 results about "Visual comfort probability" patented technology

A method and apparatus for adjusting disparity in a 3D image and a 3D imaging device thereof are provided. The apparatus includes a disparity estimator which estimates disparity in an input 3D image and determines a disparity histogram pixel-wise; a disparity adjustor which analyzes energy of a parallax range of the disparity histogram and determines a disparity adjustment amount; and a 3D image reproducer which reproduces the 3D image based on the disparity adjustment amount. Accordingly, the disparity adjustment amount is determined by analyzing disparity energy of the disparity histogram, so a viewer may feel visual comfort and an optimal stereoscopic effect may be provided.

A display system for improving visual comfort and a method of adaptively adjusting resolution of a display device are provided. The display system includes a display device, a memory, an image sensor, a face recognition unit, a distance detection unit, and a controller. The memory is configured to store face representation data and user preference data. The image sensor is positioned with respect to the display device for capturing an image and converting the image into an electrical signal. The face recognition unit is configured to analyze the electrical signal to recognize a face image of a user and comparing the recognized face image with the face representation data to generate a first signal. The distance detection unit is configured to analyze the electrical signal to determine a distance between the display device and the user to generate a second signal. The controller, which is electrically connected to the face recognition unit and the distance detection unit, can generate a parameter based on the first signal and the second signal and adjust a display resolution of the display device based on the parameter.

The invention discloses a method for evaluating the visual comfort degree of a three-dimensional image. The method comprises the steps that first a three-dimensional saliency map of a right viewpoint image is obtained by extracting a saliency map of the right viewpoint image and a deep saliency map of a right parallax image, then parallax amplitude, parallax gradient and spatial frequency characteristics are extracted according to three-dimensional saliency map weighing, a characteristic vector of the three-dimensional image is obtained, characteristic vectors of all the three-dimensional images in a three-dimensional image set are trained by utilizing support vector regression, finally each three-dimensional image in the three-dimensional image set is tested by utilizing a support vector regression training model obtained through training, and an objective visual comfort degree evaluation predicted value is obtained. The method has the advantages that characteristic vector information of the three-dimensional images has strong stability and can well reflect the variation situation of the visual comfort degree of the three-dimensional images, so that correlation of an objective evaluation result and subjective perception is effectively improved.

The invention relates to an intelligent rehabilitation robot system for upper limbs in motor imagery and a training method thereof, and belongs to the field of motor imagery. The system comprises a motion visual stimulation module, an electroencephalogram acquisition module, an upper computer, and an upper limb rehabilitation movement bracket; the upper computer produces corresponding motion stimulation videos according to a rehabilitation training program, and displays the videos to a user through the motion visual stimulation module; the electroencephalogram acquisition module collects synchronous electroencephalogram signals of the user, carries out an amplification and filtering pretreatment, and transmits the electroencephalogram signals to the upper computer; after receiving the electroencephalogram signals, the upper computer generates rehabilitation training control signals through a feature extraction and pattern classification algorithm and outputs the rehabilitation training control signals to the upper limb rehabilitation movement bracket; the user fastens the limb through a fixing mechanism to the upper limb rehabilitation movement bracket, and the rehabilitation movement bracket receives the training control signals and conducts rehabilitation exercise training on the limb according to the corresponding control signals. According to the intelligent rehabilitation robot system for upper limbs in motor imagery and the training method thereof, the precision of rehabilitation training is improved, and the visual comfort of the user is improved.

The invention discloses a method for evaluating a stereo image vision comfort level based on machine learning. According to the method, the important vision area mask of stereo images is extracted through the saliency map of a right viewpoint image and a right parallax image, a characteristic vector used for reflecting parallax range characteristics and parallax gradient characteristics and a characteristic vector used for reflecting space frequency characteristics are extracted through the important vision area mask, the characteristic vectors of the stereo images are obtained, training is carried out on all the stereo images in a stereo image set through support vector regression, and finally each stereo image in the stereo image set is tested through a support vector regression training model obtained in training to obtain the vision comfort level evaluation predicted value of each stereo image. The method has the advantages that the obtained characteristic vector information of the stereo images has strong stability and can reflect the vision comfort level changing conditions of the stereo images well, and therefore the correlation of objective evaluation conditions and subjective perception is effectively improved.

The subject disclosure is directed towards a hybrid stereo image / motion parallax system that uses stereo 3D vision technology for presenting different images to each eye of a viewer, in combination with motion parallax technology to adjust each image for the positions of a viewer's eyes. In this way, the viewer receives both stereo cues and parallax cues as the viewer moves while viewing a 3D scene, which tends to result in greater visual comfort / less fatigue to the viewer. Also described is the use of goggles for tracking viewer position, including training a computer vision algorithm to recognize goggles instead of only heads / eyes.

A method for automatically regulating brightness of liquid crystal display includes adding brightness collection module and brightness feedback module in addition to original microprocessor control module and brightness regulation module, using microprocessor to compare environmental brightness signal to preset value and to regulate display backlight source to be brightness of preset value according to comparison result output control signal, then using backlight source sampling signal collected by brightness feedback module to carry out feedback control.

The invention discloses a multi-view image color correction method based on visual perception, comprising the following steps of: firstly extracting significance distribution maps of a target image and a source image; then extracting visual attention areas of the target image and the source image by estimating a Gaussian mixture model; obtaining accurately matched pixel point pair sets of the source image and the target image by a parallax matching algorithm; obtaining correction matrixes of the visual attention areas by a linear regression algorithm; obtaining a final correction matrix by adopting linear weighting; and finally further refining a visually sensitive area of a correction image. The invention ensures the accuracy of multi-view image color correction and also enhances the robustness of the multi-view image color correction method and the visual comfort level of the correction image.

Apparatus and a corresponding method for the assessment of the effects of tinted illumination on a subject's visual system is provided. Colour controllable light sources provide the illuminant for an object field comprising features viewed against a background. A practitioner or the subject can effect movement of a feature such as a symbol or a ball. The subject views the feature at different locations and / or whilst in motion, having selected a tint for evaluation of visual comfort or performance. Some embodiments of the invention may be used to assess the effects of optimising tint for subjects who suffer from visual dyslexia or other impairments of the visual system. Other embodiments are directly operable by the subject in order to help the subject to select tinted eyewear for the enhancement of his or her visual performance.

The invention relates to a method for evaluating vision comfort of a three-dimensional video based on brightness compensation, which belongs to the technical field of three-dimensional video vision comfort. The method is characterized by comprising the following steps: extracting a foreground area of a three-dimensional video frame according to a gray-scale map of a left view and a right view of the three-dimensional video frame, synthesizing a disparity map, extracting horizontal disparity, and calculating depth disparity; establishing a disparity depth-vision comfort model according to a subjective evaluation result, optimizing the evaluation model of the vision comfort according to the brightness, so that the scoring of the model is closer to that of the human vision system; solving a coefficient determining model of the model by utilizing a reverse substitution method according to the human subjective evaluation and experiment result, and finally realizing the evaluation on the vision comfort of the three-dimensional video based on the characteristics of the human vision system. According to the brightness compensation method, the evaluation model of the vision comfort is optimized, and a three-dimensional video comfort evaluation model which is better adaptive to the human subjective sensing result is established, so that the model scoring is closer to the subjective experiment scoring of the human vision system characteristics.

The invention relates to an assessing method for an influence of an office scene illuminating environment on vision health. The method comprises the following steps: measuring present working surface luminance, brightness, color temperature, lamp position, working environment area and illuminating power; adopting seven indexes, including vision comfort level, uniformity of luminance, strobe, brightness distribution, glare, color temperature and lighting power density; calculating the data of the seven indexes by repeatedly measuring the data of the practical illuminating scene; adopting an entropy weight method and confirming an index weight; and lastly, acquiring a comprehensive score. The invention provides the assessing method which is perfect in index system, easy in operation and capable of assessing the vision health for the office scene illuminating environment.

The invention discloses an objective evaluation method for a stereo image visual comfort degree. The objective evaluation method for the stereo image visual comfort degree includes: firstly, extracting a primary visual feature vector and a senior visual feature vector of a right parallax image of the stereo image used to reflect a visual comfort degree, and fusing the primary visual feature vector and the senior visual feature vector so as to obtain a feature vector of the stereo image, secondly, using a support vector regression to train feature vectors of all stereo images in a stereo image collection, and finally, using a support vector regression training model obtained from trainings to test a feature vector of each stereo image in the stereo image collection, and obtaining an objective visual comfort degree evaluation prediction value of each stereo image. The objective evaluation method for the stereo image visual comfort degree has the advantages that the feature vector of the stereo image obtained according to the primary visual feature vector and the senior visual feature vector of the right parallax image of the stereo image has strong stability, and visual comfort degree changing conditions of the stereo image can be reflected well, and therefore correlations between objective evaluation results and subjective perception are effectively improved.

The invention provides an RBF (radial basis function) neural network-based indoor visual environment control system and method. The system includes a data acquisition module, a data processing and control module and an output driving module; the data acquisition module is used for acquiring indoor and outdoor illuminance values; the data processing and control module is used for obtaining indoor illumination control parameters according to the illuminance values and based on an RBF (radial basis function) neural network algorithm and outputting the indoor illumination control parameters; and the output driving module is used for controlling indoor shutter blinds to rotate and / or an indoor lighting lamp to be turned on according to the indoor visual control parameters so as to realize an indoor visual environment comfortable control effect. According to the RBF (radial basis function) neural network-based indoor visual environment control system and method of the invention, the relatively reasonable indoor visual environment neural network control system is constructed, the control precision and universality of the indoor visual comfortable environment control system can be improved, defects such as instability and limitations of a traditional control system and method can be eliminated; and illumination power resources can be saved to the greatest extent with indoor visual comfort ensured.

The invention relates to a measurement system and a measurement method for vision health comfort degree, and provides a set of perfect measurement and evaluation system and method by testing human eye physical indexes and giving objective vision fatigue indexes for the emerging industries of LED illumination, 3-dimensional televisions and the like and the field of vision health. The measurement system comprises a main testing system and a testing environment analog device. The measurement method comprises the following steps: obtaining the objective vision fatigue index by testing multiple terms of human eye physical indexes; establishing mapping relation between multiple terms of complex objective indexes and subjective evaluation according to the characteristics such as self study, organization, self adapting and nonlinear dynamic treatment of a BP neural network so as to establish a BP neural network model based on the human eye physical indexes and related to a subjective fatigue evaluation degree, wherein the objective indexes are used for evaluating vision fatigue, and nonlinear relation exists among the objective indexes; through the establishing of the model, the subjective indexes are replaced by the objective indexes during the impact evaluation of light source on human eye vision health.

The invention provides electrochromic intelligent glass, comprising a substrate. A first anti-reflection layer, a second anti-reflection layer, a first transparent conductive layer, an electrochromic layer, an ion conductive layer, an ion storage layer, a second transparent conductive layer and a third anti-reflection layer are disposed in order on the substrate. A target for each layer is a planar cathode or rotary cathode made by magnetron sputtering. The layers are all solid membranes, thus corrosion of the membranes is avoided and the membranes are better in uniformity and stability. The electrochromic intelligent glass has the advantages that a manufacturing method is simple, the uniformity is good, controlling and optimizing are easy, color changing speed of the membranes can be increased through adjustment of the transparent conducive layers, and the anti-reflection layers help adjust transmittance of the membranes and improve visual comfort.

The invention discloses a three-dimensional image visual saliency map extraction method. The method includes the steps of firstly, establishing a relation model of the visual comfort degree characteristics and the visual comfort degree prediction values of a three-dimensional image through training; secondly, predicting the visual comfort degree of the three-dimensional image through the relation model so as to obtain a visual comfort degree saliency map; thirdly, extracting a two-dimensional saliency map of the three-dimensional image through a visual saliency model based on the graph theory; fourthly, obtaining a deep saliency map of the three-dimensional image according to the space similarity and the parallax similarity between regions; fifthly, fusing the two-dimensional saliency map, the deep saliency map and the visual comfort degree saliency map to obtain the final three-dimensional visual saliency map. The method has the advantage that the obtained three-dimensional visual saliency map can well conform to the characteristics of the saliency semanteme.

The invention belongs to the technical field of 3D display, and particularly discloses a visual comfort prediction and non-linear mapping visual comfort enhancement method based on saliency self-adaptability. The method includes the implementation steps that firstly, a color saliency map and a parallax saliency map of images are extracted; secondly, the color saliency map is normalized, a normalization value serves as a weight and is multiplied by the parallax saliency map, and then a saliency self-adaptability parallax map is acquired; thirdly, saliency discomfort regions are extracted through threshold segmentation; fourthly, parallax characteristics are extracted, visual comfort is estimated based on SVR, VC values are calculated, and visualization operation is conducted; fifthly, non-linear mapping is conducted on the saliency self-adaptability parallax map; sixthly, through the DIBR technology, the mapped parallax map and an original right view serve as input, and virtual images are synthesized. The predicted visual comfort is higher in relevance compared with visual comfort acquired through subjective evaluation, excessive parallax is reduced, saliency information of the images is kept, the visual comfort of the three-dimensional images is improved, and the method can be widely used for 3D display.

The invention provides a novel solar light collecting system. The novel solar light collecting system comprises sunlight, an upper widow, an indoor light collecting plate, a wall body, a scattering layer, a lower window and an outdoor light collecting plate; the sunlight irradiates the outdoor lighting plate and then is reflected to pass through a small opening in the upper window to be reflected to the indoor wall body through the indoor light collecting plate; the scattering layer coats the wall body; the light reflected by the scattering layer uniformly brighten a room. With the adoption of the novel solar light collecting system, the sunlight can uniformly irradiate the inside of the room; the indoor light collecting uniformity and visual comfort can be improved; the heat comfort close to the window can be improved; the load of an air conditioner and direct glaring can be reduced.

The invention discloses a three-dimension picture visual comfort evaluation method. The method comprises the steps that in the training stage, a plurality of three-dimensional picture pairs are selected to constitute a preference three-dimension picture pair training set, and a support vector regression training model between differential character vectors and preference values is established; in the test stage, the differential character vectors of the tested three-dimension pictures and all the pairs of training three-dimension pictures are calculated, predicted prefelirence values corresponding to all the differential character vectors are obtained by predicting according to the support vector regression training model which is obtained by training, and finally the objective visual comfort evaporation predicted value of the tested three-dimensional pictures is obtained. The three-dimension picture visual comfort evaluation method has the advantages that in the training stage, the subjective evaluation value of the training three-dimensional pictures does not need to be known, and the obtained objective visual comfort evaluation predicted value and the subjective evaluation value are kept to be highly consistent.

The invention discloses a pair of 3D glasses, a 3D television and an image field depth controlling method of the 3D television. The method includes the steps of receiving a watching instruction, playing television images at the initial value of a 3D image field depth according to the watching instruction, searching for a preset fatigue threshold, comparing a brain wave data value received at present from the 3D glasses with the fatigue threshold, when the brain wave data value is larger than or equal to the fatigue threshold, automatically reducing the played 3D image field depth, and after the 3D image field depth is reduced, automatically and gradually increasing the played 3D image field depth when the received brain wave data value is smaller than the fatigue threshold until the image restores the initial value of the 3D image field depth. According to the pair of the 3D glasses, the 3D television and the image field depth controlling method of the 3D television, visual fatigue of a user caused by the fact that the user watches the 3D television can be relieved, and visual comfort of the user who watches the 3D television images is improved.

The invention concerns a method for determining a light filter for a spectacle lens for improving or maintaining the visual comfort of an individual wearing spectacles, comprising the steps: a) collecting data relating to the needs or uses of the individual; b1) selecting a test filter on the basis of a predefined criterion; b2) selecting, as a function of the collected data, a luminous scene comprising an image determined as a function of the needs or uses, and a light source generating a visual discomfort for the individual not equipped with a filter; c) placing of the individual by presenting him with the luminous scene through the test filter; d) evaluating said criterion; e) comparing the result with a predetermined threshold; f) determining the suitable light filter as a function of the result. The invention also concerns a display device and a virtual reality helmet designed for said method.

Methods for augmented reality, and to lenses, systems and methods for improving visual comfort of a wearer equipped with a head-mounted device configured for display of information content.

The invention discloses a stereo image visual conform evaluation method based on a multi-scale dictionary. The stereo image visual conform evaluation method comprises the following steps: in a training phase, selecting multiple stereo images of different comfort levels to constitute an initial training image set, calculating a parallax statistical feature vector and a neural response feature vector of each stereo image in the initial training image set to obtain the multi-scale dictionary and a corresponding multi-scale quality table, in this way, a relation model between the feature vector and the quality is established, and thus the quality of the image can be directly predicted by simple mapping; and in a testing phase, calculating the feature vector of a tested stereo image, predicting conform evaluation predictive values corresponding to different comfort levels according to the multi-scale dictionary and the multi-scale quality table, and obtaining final objective visual conform evaluation predictive values in combination with the conform evaluation predictive values corresponding to the different comfort levels. Good consistency is kept with subjective evaluation values, namely the correlation with subjective perception is high.

The invention discloses a screen protection film which comprises an anti-dazzling layer, a main film layer and an anti-blue light glue layer which are sequentially overlapped, wherein the anti-dazzling layer is formed by curing a mixture of an inorganic nanometer particle and a solvent coating, with a weight ratio of (1-20):100. According to the screen protection film, through arranging the anti-dazzling layer on the surface of the main film layer, the anti-dazzling layer is formed by curing the mixture of the inorganic nanometer particle and the solvent coating, and the inorganic nanometer particle is doped in the solvent coating, so that a certain concave-convex effect is achieved on the surface of the anti-dazzling layer, and light rays scattered by the surface of the anti-dazzling layer are increased to cause the effect that the glossness is reduced, thus an image of a display screen is thinned, the anti-dazzling effect is achieved, the vision comfort degree is improved, and the hurt of the display screen to eyes is reduced. In addition, the invention further provides a preparation method of the screen protection film.

The invention relates to a professional stereoscopic video visual comfort classification method based on attention and a recurrent neural network. The method comprises the following steps: 1, performing scene segmentation on a training video set and a to-be-predicted video set, and performing preprocessing to obtain a disparity map; 2, performing frame-level processing to obtain frame-level features; 3, performing lens-level processing to obtain a hidden state set; 4, performing double-flow fusion: fusing the hidden state set output in the previous step by using an attention network to obtaina final hidden state; 5, outputting a classification probability of the final hidden state through a classification network, and classifying the professional three-dimensional video to be suitable forchildren to watch or only suitable for adults to watch; 6, inputting the left view and the corresponding disparity map of the three-dimensional video in the to-be-tested video set into the trained model for classification. Whether professional stereoscopic videos are suitable for children to watch or not can be effectively distinguished.

The present invention provides an adjustment method and device for a touch whiteboard. The method includes the following steps that: when touch operation is recognized, a visual attention area is determined on the touch control whiteboard according to the touch position of the touch operation on the touch whiteboard; and the display parameters of the visual attention area are adjusted according toa preset adjustment manner, so that the display effect of the visual attention area can be adjusted. With the method adopted, the dynamical local adjustment of the touch whiteboard can be realized according to the writing state of a writer on the touch whiteboard, so that the visual comfort of the writer can be improved.

The invention discloses a relocated stereo image quality evaluation method, which considers the influence of geometric distortion, information loss and visual comfort on stereo image relocation, and comprises the following steps of: calculating length-width ratio similarity, grid similarity, forward information loss, backward information loss, information retention characteristics and visual comfort of an original stereo image and a relocated stereo image; acquiring feature vectors of the relocated stereo image, then training feature vectors in a training set by using support vector regressionin a training stage, and constructing a support vector regression training model; and using the support vector regression training model to predict to obtain an objective quality evaluation predictedvalue of the relocated stereo image corresponding to feature vectors in a test set in a test stage. Since the obtained feature vectors have high stability and can well reflect geometric distortion, information loss and visual comfort of the relocated stereo image, correlation between an objective evaluation result and subjective perception of human eyes is effectively improved.