Abstract: [Object] To provide the identification device that performs identification accurately without being affected by variations in ambient light and an electronic device. [Solution] Provided is an identification device including: a direct reflected light information calculation unit configured to calculate, on the basis of sensing data by a TOF sensor that applies light to an object to detect the light, direct reflected light information about direct reflected light from the object; an object detection unit configured to detect the object on the basis of the direct reflected light information; and an object identification unit configured to identify the object on the basis of the direct reflected light information about the object detected.

Abstract: Provided is an information processing device configured to: acquire an image captured according to an imaging instruction by an imaging device mounted to a mobile object; acquire sensor information including position information about the mobile object from a sensor device according to a signal transmitted from the imaging device in response to the imaging instruction; and associate the acquired sensor information with the acquired image.

Abstract: Provided are an image processing apparatus, an image processing method, and a moving body that enable removal of noise in distance images. A distance image having a pixel value corresponding to a distance to an object and an intensity image having a pixel value corresponding to the received light intensity of light reflected from the object that are taken at the same angle are acquired, and a pixel value of a pixel in the distance image that corresponds to a pixel having a pixel value smaller than a predetermined threshold in the intensity image is converted into a no-distance pixel. Noise in the distance image is removed in this way.

Abstract: An advanced driver assistance apparatus, a vehicle having the same, and a method of controlling the vehicle are provided. The vehicle may acquire a first image of a road by a first image acquisition unit while traveling, acquire a second image of the road by a second image acquisition unit while traveling, recognize a first lane in the first image by a first lane recognizer, recognize a second lane in the second image by a second lane recognizer, determine whether at least one of the first lane recognizer or the first image acquisition unit has a failure by comparing the first lane with the second lane, and output failure information when at least one of the first lane recognizer or the first image acquisition unit is determined to have the failure.

Abstract: Embodiments of the present disclosure relate to a method and apparatus for outputting information. The method may include: acquiring point cloud data and image data collected by a vehicle during a driving process; determining a plurality of time thresholds based on a preset time threshold value range; executing following processing for each time threshold: identifying obstacles included in each point cloud frame and each image frame respectively; determining a similarity between the obstacles; determining, in response to the similarity being greater than a preset similarity threshold, whether a time interval between the point cloud frame and the image frame corresponding to two similar obstacles is less than the time threshold; and processing recognized obstacles based on a determining result, to determine the number of obstacles; and determining, based on a plurality of numbers, and outputting a target time threshold.

Abstract: Provided is an information processing apparatus and an information processing method capable of reflecting a feeling of an image capturing person for each subject of a captured image in the captured image and reproducing the realistic feeling at the time of capturing. An information processing apparatus including a recognition unit that recognizes one or more subjects from a captured image, an estimation unit that estimates a feeling of an image capturing person for each of the recognized subjects on the basis of data regarding a line-of-sight of the image capturing person and sensor data of the image capturing person associated with the captured image, and an image processing unit that performs image processing of reflecting the feeling for each of the subjects in the captured image.

Abstract: The three-dimensional measurement apparatus includes a light projecting unit projects, onto a target, a pattern in which data is encoded, an image capturing unit captures an image of the target onto which the pattern is projected, and a calculation unit calculates positions of a three-dimensional point group based on positions of the feature points and the decoded data, in which the pattern includes unit patterns that each expresses at least two bits and are used in order to calculate the positions of the three-dimensional point group, the unit patterns each includes a first region and a second region that has an area that is larger than an area of the first region, and an area ratio between the first region and the second region is at least 0.3 and not more than 0.9.

Abstract: A fingertip detection method, a fingertip detection device and a storage medium are disclosed. The fingertip detection method includes: determining a minimum-depth point in a hand area to be detected based on a depth image; determining a hand vertex in the hand area to be detected based on the depth image; determining a fingertip position based on the minimum-depth point and the hand vertex.

Abstract: An image processing method, an apparatus, a non-transitory computer readable storage medium and an electronic device are disclosed. The method includes: acquiring an accuracy level of a target application in response to an image collecting instruction initiated by the target application; adjusting an accuracy of an image to be sent according to the accuracy level, and obtaining a target image; and sending the target image to the target application.

Abstract: Described is a technique for optimization an image for facial detection. More specifically, described is a process of predicting the location of a face within an image and adjusting image settings based on at least a portion of the predicted location of the face. An image may be adjusted based on the characteristics of a metering region, which may be selected prior to performing facial detection. For example, the metering region may be a specified shape with dimensions equal to a certain percentage of the input image and placed at a specified location. The result of using such a metering region is that the image adjustments may be based on a portion of the face, and therefore, may be optimized for facial detection.

Abstract: A system for determining candidate answers during an interview. The system may include a memory storing executable instructions, and at least one processor configured to execute the instructions to perform operations. The operations may include capturing, by an image sensor, a plurality of images comprising a plurality of candidate answers; detecting, based on the captured images, a first bounding box comprising the plurality of the candidate answers; detecting, based on the captured images, a second bounding box comprising a plurality of alphanumeric characters, a first one of the alphanumeric characters being located on a line of software code; calculating a distance from a side of a first bounding box to a side of a second bounding box; and determining, based on the calculated distance, a source code alignment.

Abstract: Disclosed herein are system, method, and computer program product embodiments for querying document terms and identifying target data from documents. In an embodiment, a document processing system may receive a document and a query string. The document processing system may perform optical character recognition to obtain character information and positioning information for the characters of the document. The document processing system may generate a two-dimensional character grid for the document. The document processing system may apply a convolutional neural network to the character grid and the query string to identify target data from the document corresponding to the query string. The convolutional neural network may then produce a segmentation mask and/or bounding boxes to identify the targeted data.

Abstract: The present disclosure provides an expression recognition method, a computer device, and a computer-readable storage medium. The expression recognition method includes: obtaining a facial image to be recognized; preprocessing the facial image to be recognized to obtain a preprocessed facial image; obtaining a first output image according to the preprocessed facial image, wherein the first output image at least represents a texture feature of the facial image to be recognized; obtaining a second output image according to the first output image, wherein the second output image at least represents a structural feature of organs of the facial image to be recognized; and determining an expression category corresponding to the facial image to be recognized, according to the second output image.

Abstract: The embodiment of the present disclosure provides an image identification system and an image identification method, and relates to the field of identification technology for improving the classification accuracy of the existing image classification model.

Abstract: A hyperspectral analysis computer device is provided. The hyperspectral analysis computer device includes at least one processor in communication with at least one memory device. The hyperspectral analysis computer device is configured to store a plurality of spectral analysis data, receive at least one background item and at least one item to be detected from a user, generate one or more spectral bands for analysis based on the at least one background item, the at least one item to be detected, and the stored plurality of spectral analysis data, receive one or more mission parameters from the user, and determine a probability of success based on the one or more mission parameters and the generated one or more spectral bands.

Abstract: A method, apparatus and a system for human body tracking processing, where an apparatus for video collection processing in the system has a built-in intelligent chip, and before uploading video data to a cloud server, the intelligent chip performs a pre-processing on the video data, retains a key image frame and performs a human body detection and a tracking processing on the key image frame by using human body detection tracking algorithm to acquire a first human body detection tracking result. Afterwards, the intelligent chip sends the first human body detection tracking result to the cloud server, so that the cloud server performs a human body re-identification algorithm processing and/or three-dimensional reconstruction algorithm processing on the first human body detection tracking result to acquire a second human body detection tracking result.

Abstract: An information processing method includes: acquiring an image to be processed; determining object content of the image to be processed based on a recognition result of the image to be processed; and processing the image to be processed according to the object content to obtain a processed file including an editable file such as an Office file. As such, it is realized that the user determines the processing to be performed on the image to be processed according to the recognition result of the image to be processed, and obtain the processed format file, without specifying in advance the processing of the image to be processed, which brings convenience to the user in recognizing the image to be processed and improves the user experience.

Abstract: System and method for detecting the authenticity of products by detecting a unique chaotic signature. Photos of the products are taken at the plant and stored in a database/server. The server processes the images to detect for each authentic product a unique authentic signature which is the result of a manufacturing process, a process of nature etc. To detect whether the product is genuine or not at the store, the user/buyer may take a picture of the product and send it to the server (e.g. using an app installed on a portable device or the like). Upon receipt of the photo, the server may process the receive image in search for a pre-detected and/or pre-stored chaotic signature associated with an authentic product. The server may return a response to the user indicating the result of the search. A feedback mechanism may be included to guide the user to take a picture at a specific location of the product where the chaotic signature may exist.

Abstract: The present application provides an identity authentication method and an apparatus. The method may include obtaining a sequence of depth images containing a target face and a sequence of original two-dimensional (2D) images containing the target face, and performing identity authentication. The identity authentication may be conducted by: calculating a target face three-dimensional (3D) texture image according to the depth images containing the target face and the original 2D images containing the target face; projecting the target face 3D texture image to a 2D plane to obtain a target face 2D image; extracting feature information from the target face 2D image; comparing the feature information of the target face 2D image with feature information of a reference face 2D image to determine a similarity value; and in response to that the similarity value exceeds a first threshold, determining that the identity authentication succeeds.

Abstract: An object recognition device includes: a data holding unit that stores a reference image of an object of a recognition candidate, each feature point in the reference image, and a feature quantity at each feature point; an image acquisition unit acquires a scene image that is an image of a recognition processing target; a definition calculation unit detects definition indicating the degree of sharpness in each region of the scene image; and a feature acquisition unit and a matching calculation unit that detect a feature point in the scene image to perform a process of matching with the feature point. The matching calculation unit executes, by different methods, an extraction method of feature points in a first region of the scene image where the definition is a first range and in a second region of the scene image where the definition is a second range lower than the first range.