53results about How to "In line with visual habits" patented technology

The invention discloses a method for adaptively adjusting interface layout on the basis of screen resolution. The method includes computing maximum values and minimum values of size parameters and location parameter under the condition of current resolution according to scaling and predefined parameters of the current resolution and basic resolution; using a small dimension of the current resolution as a first dimension to compute the optimal size parameters and the optimal location parameters of icon objects under the condition of the first dimension and the quantity of the icon objects; acquiring current lengths of icon objects under the condition of a second dimension according to current lengths of the icon objects under the condition of the first dimension; computing the optimal location parameters of the icon objects under the condition of the second dimension and the quantity of the icon objects according to the optimal lengths of the icon objects under the condition of the second dimension; acquiring current interface layout according to the optimal size parameters and the optimal location parameters of the icon objects under the conditions of the first dimension and the second dimension and the quantities of the icon objects. According to the technical scheme, the method has the advantage that an excellent display effect can be realized under different conditions of screen resolution.

The invention provides a video abstraction generation method based on space-time recombination of active events. According to the method, an original video is pre-treated, blank frames are removed, and the video after pretreatment is subjected to structured analysis as follows: moving targets in the original video are taken as an object, videos of all key moving target events are extracted, time correlation between the moving target events is weakened, and time sequence recombination is performed on the moving target events based on the principle that activity ranges are not conflicted; meanwhile, background images are extracted reasonably based on the reference of the visual perception of a user, and a delayed dynamic background video is generated; and finally, the moving target events and the delayed dynamic background video are sutured seamlessly, a video abstraction with short time, concise content and comprehensive information is formed, and a plurality of moving targets can occur simultaneously in the finally generated video abstraction. The video abstraction generation method can generate the video abstraction used for video browsing or searching efficiently and rapidly, and the video abstraction can express semantic information of the video more reasonably and better meets the visual perception of the user.

The present invention discloses a geographic map picture search method, relates to interconnected network search engine and electronic map technique, and is aimed at accurately searching geographic map picture. Said method utilizes the system containing map picture collector, index server and inquiry server to implement the functions of shooting geographic image, indexing and searching geographic map picture. Besides, said invention also provides the concrete operation steps of said geographic map picture search method.

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.

The present invention provides a three-dimensional city model rendering method and device. The method includes the following steps that: a preset range model is set, and a preset range model-based quadtree index is constructed according to the bounding boxes and rendering levels of each three-dimensional city model included in the preset range model; a model subset is obtained according to the position of a current point of sight and the quadtree index, the model subset is processed and updated into a scene tree, and a corresponding visible distance is set for each model loading type of each model according to the rendering level of each model; and each node of the scene tree is traversed, and a model loading type satisfying a loading condition is selected according to the distance of the current point of sight so as to load and render a model corresponding to a current node. With the advantage of high query efficiency of the quadtree utilized, and the complexity of the models considered, important three-dimensional city models can be loaded preferentially, and minor models can be loaded later, and therefore, the model loading order better accords with visual habits of human, and model rendering efficiency and rendering fluency are high.

The invention relates to the technical field of plastic coloring master batches, particularly a coloring master batch for RRP (polypropylene random) hot-water pipes and a preparation method thereof. The invention discloses a coloring master batch for RRP hot-water pipes, which is prepared from the following raw materials in parts by weight: 40-60 parts of carrier resin, 35-55 parts of pigment, 0.5-5 parts of dispersing agent, 0.1-3 parts of antioxidant and 0.1-3 parts of antimicrobial agent. The pigment is a mixture of white, black and yellow pigments in a ratio of 5:2:1. The preparation method comprises the following steps: mixing, extruding, cooling, drying and granulating. The prepared master batch has the advantages of favorable workability, favorable weather resistance and favorable dispersity.

The invention discloses a lamp head of LED street lamp with energy saving, comprising high-efficiency power supply module, high light-efficiency LED matrix light source, timing control device, switch control device, current-voltage monitoring device and data interface. The high-efficiency power supply module is connected with the control module for LED matrix light source and the LED matrix light source in turn. The data interface is connected with the day-night alternating automatic control device, the timing control device, the ultrasonic monitoring device, the microwave detecting device and the switch control device in turn. The data interface is connected with the current-voltage monitoring device, the temperature monitoring device and the image collecting and compressing device. The temperature monitoring device is connected with the LED matrix light source. The control module for LED matrix light source is connected with the switch control device, the day-night alternating automatic control device and the timing control device. The invention is provided with simple structure, strong reducing ability for light source color, energy saving, circumstance protection, high light efficiency, good lighting effect and long service life so on.

A compressing encode method for a three-dimensional model texture based on Quardtree comprises the following steps: (1) dividing texture images according to Quardtree, resolving the texture images into a series of base textures with different resolutions, and coding the base textures; (2) arranging texture coordinates, and coding the texture coordinates successively. A decoding method corresponding to the coding method comprises the following steps: synchronously transferring texture data stream and geometric grid data, and decoding and recovering the texture data stream and the geometric grid data; and matching the texture data stream and the geometric grid data with geometrical model of the corresponding resolutions according to the textures with different resolutions. The compressing encode/decode method f of the invention has the advantages of high division efficiency, fast convergence rate as well as short client terminal responding and waiting time, and can control precision of model texture decode.

The invention discloses a construction method of document image enhancement, which is characterized by comprising the following steps of: 1. combining global contrast enhancement and local contrast enhancement together, i.e. combining a CLAHE (Contrast-Limited Adaptive Histogram Equalization) method and an Lee filter method, and forming a detail-strengthened AHE method; 2. improving a DAHE method, and introducing a gradient amplitude to enable the DAHE method to have image space self-adaptive ability and obtain an IDAHE method; and 3. carrying out experiments by using sampled data to obtain the optimal experimental numerical values of parameters epsilon, k, lambda1 and lambda 2 of input images in different types. The invention has the advantages that the global contrast is improved, the local details are effectively amplified, and imaging is clear.

The invention provides a method for generating a three-dimensional real scene road model of a highway. Two-dimensional road information is extracted from a remote-sensing image and comprises two-dimensional road plane framework information, width and road surface texture; area elevation data containing data of a target highway are extracted from a digital elevation model, and a digital terrain model is generated; the two-dimensional road information and the area elevation data are subjected to multi-source heterogeneous fusion, and a three-dimensional highway digital model is established; a visual three-dimensional model of the highway road is generated through simulation by the use of the three-dimensional highway digital model in three-dimensional modeling software, the road surface texture is mapped to the surface of the visual three-dimensional model with a texture mapping method, and the three-dimensional real scene road model of the highway is generated. The established visual three-dimensional model can effectively solve the problem that a virtual road real scene lacks the sense of reality.

The invention discloses a low-visibility guiding system. The low-visibility guiding system comprises two parts, i.e., a detector front end and a fusion system, wherein the detector front end comprises a fixed base, a rotary base, an installation frame, a thermal infrared imager, a micro-optical imager, and a camera; the fusion system comprises image processing equipment and display equipment. The low-visibility guiding system can be used for auxiliary driving systems of helicopters, ships and vehicles, helps drivers to drive safely and also can be used for search and rescue and security protection in accidents and the like.

The invention discloses a kind of regulate method about display color of display device. The method is that classify the inputted image signals to corresponding grade; adjust the six primitive colors of the display device respectively on the different brightness grade, the six primitive colors is composed of the red, green, blue and the other three new primitive colors, the three new primitive is made from the match of each two primitive colors according to the fixed proportion. Adjust one of the said new primitive colors is equal to adjust the corresponding two primitive colors at one time according to the fixed proportion. The beneficial effect of the invention is that adopting the adjust of six primitive colors, increase the new primitive color between each two primitive colors, make use of the new primitive color to adjust the interspaced color when revising the display devices and hardly judge use which primitive color to do it, this detail adjust is more conform to people's visual custom, and make the abstract unlinear curve intuitionistic and accurate.

The invention discloses a remote sensing image pseudostereoscopy correction method. A current solar azimuth and a solar altitude are obtained by utilizing an original remote sensing image, data of a DEM and a remote sensing image, and an orthostereoscopy image according with practical topographic features is generated through image geometric precise correction, image intensification, calculation of gradient and exposure, calculation of an effective solar incident angle cosine value, topographical correction based on a gradient matching model and calculation of a gradient matching model inverse process. The remote sensing image pseudostereoscopy correction method has the advantages of being strong in mechanism, and widely suitable for pseudostereoscopy correction of remote sensing images of different regions and different sources. A generated orthostereoscopy image is high in third dimension, vivid in tone and balance in brightness, and the remote sensing image pseudostereoscopy correction method can be applied to the fields of map navigation, planning and designing, ecological zoning, resources monitoring such as land, agriculture and the forestry, geological disaster monitoring, geological prospecting, hydrological survey, military and the like.

The invention relates to the technical field of image processing and provides a white balance processing method and device, a terminal device and a memory medium. The white balance processing method comprises the steps of obtaining a to-be-processed image; collecting RGB values of pixels of the to-be-processed image; determining white balance statistics points of the to-be-processed image according to the RGB values of the pixels; calculating a mean value of the statistics points within a quasi white area as a first gain value when a proportion of the statistics points within the quasi white area in the white balance statistics points is greater than a first threshold, wherein the quasi white area is formed by stretching a white area of white balance around for certain distance; moving thefirst gain value towards the white area for preset distance to obtain a second gain value if the first gain value is in the quasi white area and out of the white area; and carrying out white balanceprocessing on the to-be-processed image through adoption of the second gain value.

The invention discloses a horizon-fusion-type panorama electronic rearview mirror system. The system comprises a camera, a display screen and an image processing module. The image processing module comprises a field-programmable gate array; the field-programmable gate array comprises an image processing pipeline and an image control module; the image processing pipeline obtains original video datafrom the camera; the image control module calls the original video data in the image processing pipeline, processes the original video data according to a preset program and outputs close-shot videodata and far-shot video data to the display screen, the display screen is divided into left and right areas for displaying, and images of the far-shot video data are horizontally compressed. Accordingto the system, the original video data shot by the camera is divided, the far-shot video data is horizontally compressed, that is to say, two horizons, including class II and class IV, of a traditional rearview mirror are subjected to fusion displaying, the close-shot close to a vehicle is emphatically reflected, and hidden safety dangers are eliminated.

The invention discloses a method for converting a 3D model into a three-dimensional double-viewpoint view. The method comprises the steps of 1), selecting a to-be-converted 3D model, calculating frustum shift and left and right eye frustum parameters of the 3D model according to input parameters, and establishing a projection matrix and a view matrix of a left eye and the projection matrix and the view matrix of a right eye; 2), obtaining left and right eye MVPs according to the projection matrixes, view matrixes and model matrixes of the left eye and the right eye and introducing the left and right eye MVPs into a shader; 3), carrying out premultiplication on a vertex coordinate of the 3D model and the left eye MVP, introducing a result into the shader, carrying out the premultiplication on the vertex coordinate of the 3D model and the right eye MVP, and introducing the result into the shader, thereby obtaining new vertex coordinates, after each vertex of the 3D model is converted, obtaining left and right eye images of the 3D model; and 4), mapping and splicing the obtained left and right eye images on a screen, thereby obtaining a double-viewpoint disparity map of the 3D model. The method is fast in operation speed, is approximate to visual habits of human eyes and satisfies double-eye convergence simulation.

The invention provides an interactive image segmentation method based on weak link constraint. The interactive image segmentation method mainly comprises the following steps: 1) performing SLIC super-pixel segmentation preprocessing on a target image; 2) providing paired weak link constraint information by a user; 3) constructing a similarity matrix based on the Euclidean distance of the superpixel center point and the Euclidean distance of the RGB space average value; 4) on the basis of a Bayesian framework, constructing a clustering algorithm model based on representative points by maximizing the likelihood probability of the image; and 5) optimizing the target function by using an EEM algorithm, and then completing an interactive image segmentation task. The weak link constraint and thestrong link constraint are combined together; on the basis of superpixel segmentation. Paired link constraint information is embedded into a clustering model based on representative points, in the optimization process, suboptimal representative points are expanded into an optimization space, a representative point set is modified according to energy loss, image segmentation is completed, and theacquisition cost of link constraints is greatly reduced.

The invention relates to the field of artificial intelligence, discloses an image optimization method based on an eye fundus color photograph image and related equipment. The method comprises the steps of obtaining a to-be-optimized fundus color photo image, performing RGB three-channel separation on the fundus color photo image, performing optimization processing on the separated channel image, and fusing the channel image subjected to optimization processing to generate an optimized fundus color photo image. Three-channel separation is carried out on the fundus image, the separated channelsare optimized respectively, the optimized three-channel image is fused, the optimized fundus image is generated, the fundus image can be enhanced, the visual habit of human eyes is better met, and image distortion is avoided.

The invention discloses a rotary knob with a rotating outer ring. The rotary knob comprises a knob base, a knob sleeve, a knob cover and a control element. The knob sleeve sleeves the knob base in a rotating manner. The knob cover is buckled into the knob sleeve and is fixedly connected with the knob base. The control component is fixedly connected to the knob base. The knob sleeve is connected with the control element in a rotating manner to drive the control element to adjust the gear position. An identification device is arranged at the knob cover. The knob cover and the knob base are fixedly connected to form a rigid body. The knob sleeve can rotate freely between the knob cover and the knob base and the related control element is driven to move to a corresponding control function position. When the knob sleeve rotates, the knob cover does not rotate with the knob sleeve and thus the identification device arranged at the knob cover does not rotate, thereby conforming to the user's visual habits well and ensuring the aesthetic appearance of the product. The rotary knob is applied to electrical equipment.

The embodiment of the invention discloses an image self-adaptive transforming method after a flexible panel is folded. After the flexible panel is folded, a first panel and a second panel are formed.The image self-adaptive transforming method comprises the steps of recognizing a folding instruction input by a user; searching for a prestored instruction-image adjusting table according to the folding instruction to obtain a corresponding image adjusting mode, wherein the association relation of different folding instructions and different image adjusting modes is recorded in the instruction-image adjusting table; adjusting an original image displayed by the flexible panel before folding in the obtained image adjusting mode to obtain the adjusted image; completely displaying the adjusted image to at least one of the first panel and the second panel. The invention further discloses an image self-adaptive transforming device after the flexible panel is folded. The image self-adaptive transforming method and device have the advantages of improving the visual feeling of the user after the flexible panel is folded.