Disclosed is a system and method for obtaining optical properties of skin on a human face through face video analysis. Video of the face is captured, landmarks on the face and tracked, regions-of-interest are defined and tracked using the landmarks, some measurements/optical properties are obtained, the time-based video is transformed into an angular domain, and additional measurements/optical properties are obtained. Such optical properties can be measured using video in real-time or video that has been pre-recorded.

Disclosed is a method for detecting a shadow in an image of an eye region of a user wearing a Head Mounted Device, HMD. The method comprises obtaining, from a camera of the HMD, an image of the eye region of the user wearing a HMD and determining an area of interest in the image, the area of interest comprising a plurality of subareas. The method further comprises determining a first brightness level for a first subarea of the plurality of subareas and determining a second brightness level for a second subarea of the plurality of subareas. The method further comprises comparing the first brightness level with the second brightness level, and, based on the comparing, selectively generating a signal indicating a shadow.

The invention disclose a method, an apparatus, a device and a storage medium for detecting a card surface picture. The method comprises the following steps of: identifying region information of an image to be shown in a target picture; generating a picture to be detected according to the region information of the image to be shown; synthesizing the picture to be detected and a preset picture to obtain a synthesized picture; and in response to that it is detected that a fourth pixel value is contained in the synthesized picture, determining that the target picture is unqualified, which improves the efficiency of picture review and further improves the efficiency of card fabrication.

A skin color chart (10) according to an example aspect of the present disclosure includes: a substrate (11); a first skin color display part (BK) configured to show a skin color of a Negroid, the first skin color display part being formed on the substrate (11); and a second skin color display part (WT) configured to show a skin color of a Caucasoid, the second skin color display part being formed on the substrate (11). Lightness L* of the first skin color display part (BK) in a CIE L*a*b* color space satisfies 20≤L*≤37, and lightness L* of the second skin color display part (WT) in the CIE L*a*b* color space satisfies 74≤L*≤81.

A videoconferencing system includes a camera acquiring image data and a microphone array acquiring audio data. Image data is used in conjunction with sound source localization (SSL) data to locate a talker depicted in the image data. SSL processes the audio data and determines SSL pan angle values indicative of an estimated direction of a sound. Columns of pixels in an image are associated with bins. A bin count is incremented for each SSL pan angle value of the audio data that falls within a given bin. A bounding box in the image data is determined that encompasses a face depicted in the image data. A range of pixels is determined for the bounding box, such as extending from a leftmost column to a rightmost column. The bin with the highest bin count that also overlaps a range of pixels for a bounding box is deemed to contain the talker.

The image processing unit selects multiple subject areas from strobe-ON image data to be corrected, and, from the selected multiple subject areas, the image processing unit acquires a feature amount such as gloss information corresponding to each subject. Subsequently, from each subject area, the image processing unit selects a part of the subject area, based on the acquired feature amount. Then, regarding the partial area of each subject area, which is selected based on the feature amount, the image processing unit estimates the auxiliary light arrival rate corresponding to each subject, based on a pixel value of the strobe-ON image data and a pixel value of strobe-OFF image data. Thereafter, based on the estimated auxiliary light arrival rate, the image processing unit corrects the brightness of each subject area of the strobe-ON image data, in order to generate corrected image data.

A display apparatus includes: a display panel including a plurality of pixels; a data driver which applies data voltages to the pixels; a gate driver which applies gate signals to the pixels; and a driving controller which controls the data driver and the gate driver. The driving controller divides the display panel into a plurality of panel blocks, calculates a skin color inclusion ratio of each of the panel blocks based on input image data, determines at least one face region candidate block among the panel blocks based on the skin color inclusion ratio, determines a face region block of the at least one face region candidate block based on the at least one face region candidate block and face matching data, and performs image quality processing on the face region block.

A safety belt detection method, apparatus, computer device and computer readable storage medium are disclosed. The safety belt detection method includes the steps as follows. An image to be detected is obtained. The image to be detected is inputted into a detection network which includes a global dichotomous branch network and a grid classification branch network. A dichotomous result, which indicates whether a driver is wearing a safety belt and is output from the global dichotomous branch network, is obtained. A grid classification diagram, which indicates a position information of the safety belt and is output from the grid classification branch network, is obtained based on image classification. A detection result of the safety belt, indicating whether the driver is wearing the safety belt normatively, is obtained based on the dichotomous result and the grid classification diagram.

A method of camera processing including receiving a first image, determining one or more first automatic white balance (AWB) parameters for the first image, determining one or more second AWB parameters for a region-of-interest (ROI) of the first image, applying the one or more first AWB parameters to one or more of the first image or a second image, and adjusting the ROI of one or more of the first image or the second image based on the one or more second AWB parameters.

Methods and systems for high-resolution image manipulation are disclosed. An original high-resolution image to be manipulated is obtained, as well as a driving signal indicating a manipulation result. The original high-resolution image is down-sampled to obtain a low-resolution image to be manipulated. Using a trained manipulation generator, a low-resolution manipulated image and a motion field are generated from the low-resolution image. The motion field represent pixel displacements of the low-resolution image to obtain the manipulation indicated by the driving signal. A high-frequency residual image is computed from the original high-resolution image. A high-frequency manipulated residual image is generated using the motion field. A high-resolution manipulated image is outputted by combining the high-frequency manipulated residual image and a low-frequency manipulated image generated from the low-resolution manipulated image by up-sampling.