56 results about "Mental image" patented technology

The invention discloses a multi-image face alignment method based on the generative adversarial network. The method comprises that multiple real face images are input to a generator, and the generatorprocesses the images to a synthesis image which fits distribution of the real images; the real face images and the synthesis image are input to a discriminator to obtain the real probability of the real image and the real probability of the synthesis image, and parameters of the generator and the discriminator are updated iteratively till the parameters are converged so as to determine a model established by the generator and the discriminator; and the face images to be aligned to input to the determined model, and an aligned face image is obtained by once forward transmission operation. Thus, one clear and aligned face image can be generated according to multiple face images, the sparse degree of a noise matrix obtained by subtracting the aligned image from a multi-face-image matrix reflects the degree in which the generated face image is aligned with the input face images, and the generative adversarial network records integral and detailed characteristics of the face.

The invention discloses a method and a system for continuous attention assessment. The method comprises the following steps: when a tested person is in a simulated task state, the behavior index data, the eye movement index data and the electroencephalogram index data of the tested person are acquired; the above acquired data are input into a preset comprehensive evaluation model, and the output of the comprehensive evaluation model is adopted as one of a plurality of assessment grades. The comprehensive evaluation model is obtained in advance through the following mode: an ideal evaluation index table of the plurality of assessment grades is obtained based on the test data of tested people of a preset number in the actual task state, and a multi-input and single-output relation model is obtained through the neural network learning process under the supervision of the ideal evaluation index table. According to the invention, the continuous attention is fully fused with specific scene task characteristics, and indexes of three dimensions are adopted. A more objective and more accurate continuous attention assessment scheme is established from the representation layer to the mechanism layer, and from exogenous factors to endogenous factors.

Systems for matching face shapes may include a computer-readable non-transitory storage medium and an executing hardware unit. The storage medium may include a set of instructions for target object shape matching. The executing hardware unit may be in communication with the storage medium and may be configured to execute the set of instructions. The executing hardware unit may be configured to obtain a target object image for shape matching; determine a shape character of the target object image based on a shape of the target object image; determine similarities between the target object image and a plurality of template images of reference objects based on the shape character of the target object image and shape characters of the reference objects in the plurality of template images; and select a template image from the plurality of template images that has a largest similarity to the target object image.

In an image of lithiasis in a computed tomography examination, a segment of the image is chosen with a detection of the maximum of the gradient of radiological density measured in the voxels of the reconstructed image. This mode of action gives an evaluation of the envelope of the lithiasis that is objective and independent of the practitioner who performs it. Furthermore, to make the characterization of the lithiasis more realistic, especially to follow the effects of a therapeutic treatment, a characteristic result is given, equivalent to the volume of the lithiasis, preferably a weighted volume, and to the mean density of the lithiasis. The disclosed method also can facilitate the scheduling of surgical operations when it is not possible to administer oral treatment or carry out lithotripsy.

The invention discloses a target tracking method on the basis of online study for a context relation of a space-time structure. The method is used for tracking target images in videos, and includes steps of creating a time-structure context model and a space-structure context model for target tracking; sampling areas, where an object probably appears, in a video frame to obtain sample images; inputting the sample images into the time-structure context model and the space-structure context model to obtain time probability results and space probability results which indicate various sample points in the sample images are areas with the target; and fusing the space probability results and the time probability results to obtain posterior probabilities indicating that the various sample points belong to the areas with the target, and using a sample point corresponding to the maximum value of the posterior probabilities as a final result of target tracking. The target tracking method has the advantage that the target can be accurately positioned via automatic online study for representation features of the target under the condition that any information of the target and any information of scenes with the target are unknown.

The invention discloses a method and a device for presenting multimedia information. The method comprises the following steps: receiving a four-dimensional spatial-temporal model used for presenting representation information, wherein the four-dimensional spatial-temporal model has an attribute which can present the representation information along with time changes in a digital form; carrying out decoding processing on the four-dimensional spatial-temporal model to obtain a decoded four-dimensional spatial-temporal model; and according to the decoded four-dimensional spatial-temporal model, presenting the representation information presented by the four-dimensional spatial-temporal model. In the scheme, the four-dimensional spatial-temporal model has the attribute which can present the representation information along with time changes in a digital form, so that the problem of time delay of the presented representation information is solved to a certain degree, and therefore, the scheme solves the defect of the time delay in the prior art to a certain degree.

Methods, systems and computer program products for retrieving mental images of faces from the human brain. An exemplary embodiment includes a method for retrieving mental images of faces from a human brain, the method including generating an image on a screen, measuring brain activity data from a brain scanner, varying characteristics of the image on the screen, detecting changes in the brain activity data measured from the brain scanner, and generating a final image on the screen, the final image being related to a subjectively described mental image.

The invention discloses a method for estimating perceptual semantic content by analysis of brain activity. Provided is an estimation method for measuring and analyzing brain activity to estimate a perceptual semantic content thereof. This method comprises: (1) inputting, to a data processing means, an output when a cranial nerve activity detection means detects an annotation of a perceptual content and brain activity induced in a subject by a training stimulation; (2) associating a sematic space representation of the training stimulation and the output of the cranial nerve activity detection means in a stored semantic space and storing the association in a training result information storage means; (3) inputting, to the data processing means, an output when the cranial nerve activity detection means detects brain activity induced by a novel stimulation, and obtaining a probability distribution in the semantic space which represents perceptual semantic contents for the output of the novel stimulation-induced brain activity by the cranial nerve activity detection means on the basis of the association; and (4) estimating a highly probable perceptual semantic content on the basis of the probability distribution. The association process may be performed for each subject. In the probability estimation process, the likelihood calculated on the basis of the coordinate of a given word in the semantic space and the probability distribution is used as an indicator.

The invention discloses an image-text double-coding mechanism implementation model based on a CR2 neural network, and relates to the field of human cognition and knowledge representation. The image-text double-coding mechanism implementation model based on the CR<2> neural network is characterized in that the implementation model includes a representation system which adopts a multilayer Convolutional Neural Network (CNN) model to obtain ''image units'' representing mental images of information; and a semantic system which adopts an RNNLM language model to obtain ''language units'' representing information semantics; a reference association system which adopts an RBF self-propagation neural network model, wherein a positive model uses the ''image units'' as input, output is the ''language units'' associated for reference, and an inverse model is inverse operation of the positive model. Here the CR<2> neural network refers to an organic composition of three neural networks of CNN, RNN and RBF. The image-text double-coding mechanism implementation model based on the CR2 neural network realizes establishment of models of an image representation system and a natural language semantic system, and also establishes a model of reference association between the two systems. The models completely simulate the whole process of an image-text double-coding cognition mechanism.

The invention belongs to the technical field of road traffic signs, and discloses an urban road intersection traffic sign line and a positioning method thereof to direct vehicles. The urban road intersection traffic sign line has the characteristic of being continuous, facilitates improvement of spatial cognitive psychology of divers, facilitates correction of wrong visual image and orientation concept of people, facilitates reduction of mental fatigue due to anxiety and confusion caused by path selection and judgment, and facilitates formation of longtime effective memory and judgment. According to the positioning method, only simple parameters need to be conveniently measured to determine the front distance of traffic signs, and further sign board color indicator bars and road colored guide lines can be arranged to lead the divers to reasonably park based on driving needs. Urban traffic management departments can erect and spray traffic sing lines with the best management effect according to the method. The colored sign lines are simple in principle, low in construction difficulty, high in speed, low in project investment, and is suitable for popularization and application.