Example implementations described herein are directed to systems and methods for non-invasive data extraction from digital displays. In an example implementation, a method includes receiving one or more video frames from a video capture device capturing an external display, where the external display is independent the video capture device; determining one or more locations within the external display comprising time varying data of the external display; and for each identified location of the time varying data: determining a data type; applying one or more rules based on the data type; and determining an accuracy of the time varying data within the one or more frames based on the rules.

An image recognition device, an image recognition method, and an image recognition unit which can achieve touch recognition with high accuracy. An image recognition device includes an image processing unit which carries out touch recognition, based on an image acquired by an image capturing device, the image capturing device being arranged in a second orthant or a third orthant, and based on a distance between a missing part generated on an image display surface due to light from a detection image display device being blocked by an object when the object is situated between the detection image display device and the image display surface, and the detection image situated on an epipolar line decided based on a positional relation between the image capturing device and the detection image display device and passing through the missing part, and displayed on the object.

A system for generating graphical user interfaces. The system may include processors and storage devices storing instructions. The instructions may configure the one or more processors to perform operations including identifying a plurality of attributes from an image captured with a client device, identifying a plurality of first results based on the attributes, generating a first graphical user interface for display in the client device. The first graphical user interface may include a plurality of result icons corresponding to a subset of the first results having confidence scores above a threshold, a plurality of filter icons displaying options, and a search button. The operations may also include receiving a selection of at least one of the result icons or at least one of the filter icons, performing a search, based on the selection, and generating a second graphical user interface.

A method, a system, and a computer-readable recording medium for image-based object tracking are provided. The method includes following steps. A video stream including a plurality of images is received. The video stream is generated through photographing an enclosed space by an image capturing device, and a moving range of a plurality of observed objects is limited to the enclosed space. A plurality of moving objects are detected from the video stream, and frames associated with each of the moving objects are generated for the images. The images include a current image and a previous image. By analyzing position projecting relationship between current frames in the current image and previous frames in the previous image, linking relationship between the current frames in the current image and the observed objects is established. The observed objects in the enclosed space are tracked according to the established linking relationship.

Example implementations may relate to use of a light-control feature to control extent of light encountered by an image capture device of a self-driving vehicle. In particular, a computing system of the vehicle may make a determination that quality of image data generated by an image capture device is or is expected to be lower than a threshold quality due to external light encountered or expected to be encountered by the image capture device. In response to the determination, the computing system may make an adjustment to the light-control feature to control the extent of external light encountered or expected to be encountered by the image capture device. This adjustment may ultimately help improve quality of image data generated by the image capture device. As such, the computing system may operate the vehicle based at least on image data generated by the image capture device.

Example implementations described herein are directed to systems and methods for non-invasive data extraction from digital displays. In an example implementation, a method includes receiving one or more video frames from a video capture device capturing an external display, where the external display is independent the video capture device; determining one or more locations within the external display comprising time varying data of the external display; and for each identified location of the time varying data: determining a data type; applying one or more rules based on the data type; and determining an accuracy of the time varying data within the one or more frames based on the rules.

The present disclosure provides a texture recognition method and apparatus thereof. The texture recognition method includes: acquiring a side texture image of a selected joint of an creature to be recognized; extracting side texture features in the side texture image; and recognizing a side texture of the selected joint based on the extracted side texture features.

An expanding appliance includes a connect port, an image capturing module, an intelligent control module, an image transmitting module, and a result displaying module. The expanding appliance connects an image input device through the connect port, connects a display device through the result displaying module, and connects one or more image-applied function module through the image transmitting module. The intelligent control module generates a demanding command according to a successfully-connected image-applied function module. The image capturing module controls the image input device to capture image data based on the demanding command, and quantizes samples of the image data as computation data. The image transmitting module provides the computation data to the image-applied function module for image identification and receives an identification result. Finally, the intelligent control module triggers the result display module for displaying the identification result on the display device.

A method and an apparatus for processing a screen by using a device are provided. The method includes obtaining, at the second device, a display screen displayed on the first device and information related to the display screen according to a screen display request regarding the first device, determining, at the second device, an additional screen based on the display screen on the first device and the information related to the display screen, and displaying the additional screen near the display screen on the first device.

In various implementations, a computing device is configured to provide a live preview of salient contours generated on a live digital video feed. In particular, a designer can use a computing device with a camera, such as a smart phone, to view a real-time preview of salient contours generated from edges detected in frames of a live digital video feed prior to capture, thereby eliminating the unpredictability of salient contours generated from a previously captured image. In some implementations, the salient contours are overlaid on a greyscale conversion of the live digital video feed for improved processing and visual contrast. Other implementations modify aspects of edge-detecting or post-processing filters for improved performance on mobile computing devices.