A method for situation aware processing, the method may include detecting a situation, based on first sensed information at a first period; selecting, from reference information, a situation related subset of the reference information, wherein the situation related subset of the reference information is related to the situation; and performing, by a situation related processing unit, a situation related processing, wherein the situation related processing is based on the situation related subset of the reference information and on second sensed information sensed at a second period, wherein the situation related processing comprises at least one out of object detection and object behavior estimation.

The present application relates to method and device for determining image similarity that includes: dividing a target image into multiple regions based on positions of pixels relative to a reference point in the target image, and dividing a reference image into multiple regions based on positions of pixels relative to a reference point in the reference image; determining, based on feature points in the target image and feature points in the reference image as well as the regions obtained by dividing the target image and the regions obtained by dividing the reference image, similarity between a distribution of the feature points in the target image and a distribution of the feature points in the reference image. According to the method of the present application, the similarity is described more reasonably.

Various aspects of a method and device to process one or more multi-channel images are disclosed herein. The method to process one or more multi-channel images is executed within an electronic device. A channel distance value between each channel of a target patch and corresponding channel of one or more neighbor patches of one or more multi-channel images is determined. The determination of the channel distance value is based on channel data in each channel of the one or more multi-channel images. Based on relative signal information in each channel of the target patch, a channel weight for each channel is dynamically determined. Based on the determined channel distance value and the dynamically determined channel weight for each channel, a patch matching score is determined.

Provided is a wafer appearance inspection apparatus that can segmentize an inspection target region, enable expedited execution of an operation to set a sensitivity threshold to each region, and enhance the inspection efficiency. Pattern matching between the image region of a part of a standard wafer, which is defined as a template region, and the entire image region of the standard wafer is performed to compute an image editing value. The computed image editing value is used to edit an inspection target image. A region for which a threshold is to be set can be automatically confirmed by roughly specifying the region from among edited image regions displayed on the display. The confirmed region and a similar pattern region are searched and displayed. When the similar region is selected, the initial sensitivity threshold is displayed, and a change is made on an as-needed basis. The region of the set sensitivity threshold is displayed by the display color corresponding to the determined threshold. Inspection is executed according to the set threshold.

An image recognition apparatus, method and non-transitory computer-readable storage medium are disclosed. An image recognition apparatus may include a memory storing instructions, and at least one processor configured to process the instructions to, determine an occlusion pattern of a face in a facial image representing the face by comparing the facial image with a standard facial image representing a standard face, and identify the facial image using a region determined by the occlusion pattern in the facial image.

The techniques described herein may identify images that likely depict one or more items by comparing features of the items to features of different regions-of-interest (ROIs) of the images. When a user requests to identify images that depict a particular item, the techniques may determine a region-of-interest (ROI) size based on the size of the requested item. The techniques may then search multiple images using the ROI size.

Disclosed are systems and techniques for wireless communications. For example, a device can receive, from a first vehicle, a view request for a visual view of a region of interest (ROI). The device can transmit a request for key points and feature descriptors related to a view of the first vehicle and respective view(s) of the other vehicle(s), and can match the key points/feature descriptors related to the other vehicle(s) and the first vehicle. The device can determine, based on the matching, at least one vehicle to provide at least one ROI view of the ROI and determine at least one mapping between the at least one vehicle and the first vehicle, which can be used to combine the at least one ROI view of the at least one vehicle with the view of the first vehicle to generate a combined image having the visual view of the ROI.

An image processing method includes segmenting, by a cloud server and based on a zoom ratio of a high-definition image in a high-definition image library, a low-definition image of a small zoom ratio from a terminal to obtain a plurality of image blocks. For each image block, performing, by the cloud server, retrieval and matching in the high-definition image library to obtain one or more high-definition reference images, and then performing, by the cloud server, image quality improvement using an image enhancement network that is based on the high-definition reference images to obtain a plurality of high-definition image blocks. Finally, stitching, by the cloud server, the high-definition image blocks into a super-definition image with higher resolution and higher definition, and returning, by the cloud server, the super-definition image to the terminal.

A method, apparatus, and device for labeling images of PCBs includes obtaining an image to be tested; comparing the image to be tested to a reference image to generate an image mask, the image mask includes several connected domains; detecting defects of the image to be tested; when at least one defect is detected in the image to be tested, obtaining a coordinate of the at least one defect; based on a central coordinate of the connected domains and the coordinate of the at least one defect, determining the connected domains to be defect connected domains or normal connected domains; generating a first image mask and a second image mask; and processing the first image mask and the second image mask with the image to be tested to obtain a defect element image corresponding to the defect connected domains and a normal element image corresponding to the normal connected domains.

Provided are an information processing apparatus, an information processing method, and a storage medium capable of acquiring feature information relating to sweat gland pores that can realize highly accurate identification of an individual. The information processing apparatus includes: a sweat gland pore extraction unit that extracts sweat gland pores from an image including a skin marking; and an information acquisition unit that acquires sweat gland pore information including position information about the sweat gland pore and directional information about the sweat gland pore for each of the sweat gland pores.