Abstract: A method for processing a candidate digital image includes defining a set of noteworthy points in the candidate digital image. A set of at least three noteworthy points is selected to comprise a notable departure point, a notable arrival point, and a third notable point not aligned with the notable departure point and the notable arrival point. A set of at least one route, between the notable departure point and the notable arrival point, is defined. The route passes through all of the selected notable points. Local characteristics, of the pixels located along the route, are extracted. The signal, corresponding to the variation in the magnitude of the local characteristics as a function of each pixel along each defined route, is recorded in the form of a fingerprint.

Abstract: The present disclosure relates to a method for determining a pose of an object in a local coordinate system of a robotic machine, the method including: capturing at least one image of a first face of the object and at least one image of at least a portion of a second face of the object; generating a point cloud representation of at least part of the object using image data obtained from the captured images of the first and second faces; fitting a first plane to the first face of the object and fitting a second plane to the second face of the object using the point cloud representation; determining a pose of the first plane and a pose of the second plane; retrieving a shape model of at least the first face of the object; locating the shape model in the local coordinate system using at least in part the at least one image of the first face; and, determining the pose of the object in the local coordinate system. A vision system and robotic machine are also disclosed.

Abstract: The present invention provides a generation method for a 3D asteroid dynamic map and a portable terminal. The method comprises: obtaining a panorama image; identifying the panorama image and segmenting into a sky region, a human body region, and a ground region; calculating a panoramic depth map for the sky region, the human body region, and the ground region; respectively transforming the panorama image and the panoramic depth map to generate an asteroid image and an asteroid depth map; generating an asteroid view under a virtual viewpoint; and rendering to generate a 3D asteroid dynamic map. By automatically generating the asteroid view under the virtual viewpoint, and synthesizing and rendering same, the technical solution of the present invention generates the asteroid dynamic map having a 3D effect from the panorama image.

Abstract: The present technology relates to image signal processing. One aspect of the present technology involves analyzing reference imagery gathered by a camera system to determine which parts of an image frame offer high probabilities of—relative to other image parts—containing decodable watermark data. Another aspect of the present technology whittles-down such determined image frame parts based on detected content (e.g., a cereal box) vs expected background within such determined image frame parts.

Abstract: An image matching apparatus matching a first image against a second image includes an acquiring unit, a generating unit, and a determining unit. The acquiring unit acquires a frequency feature of the first image and a frequency feature of the second image. The generating unit synthesizes the frequency feature of the first image and the frequency feature of the second image, and generates a quantized synthesized frequency feature in which a value of an element is represented by a binary value or a ternary value. The determining unit calculates a score indicating a degree to which the quantized synthesized frequency feature is a square wave having a single period, and matches the first image against the second image based on the score.

Abstract: A method provided for 3D object localization predicts pairs of 2D bounding boxes. Each pair corresponds to a detected object in each of the two consecutive input monocular images. The method generates, for each detected object, a relative motion estimation specifying a relative motion between the two images. The method constructs an object cost volume by aggregating temporal features from the two images using the pairs of 2D bounding boxes and the relative motion estimation to predict a range of object depth candidates and a confidence score for each object depth candidate and an object depth from the object depth candidates. The method updates the relative motion estimation based on the object cost volume and the object depth to provide a refined object motion and a refined object depth. The method reconstructs a 3D bounding box for each detected object based on the refined object motion and refined object depth.

Abstract: This application relates to the field of video processing, and discloses a video stitching method and apparatus, an electronic device, and a non-transitory computer-readable storage medium, where the video stitching method includes: detecting a similarity between a first image and a second image, the first image being an image frame of a first to-be-stitched video, and the second image being an image frame of a second to-be-stitched video; then determining a motion vector of the first image relative to the second image when the similarity meets a preset condition; and then determining at least one compensated frame between the first image and the second image according to the motion vector, and stitching the first image and the second image based on the at least one compensated frame to stitch the first to-be-stitched video and the second to-be-stitched video.

Abstract: An image processor includes a boundary line detection portion configured to detect a boundary line by using an image in accordance with an image signal acquired by an imaging device, a parking frame detection portion configured to detect a parking frame by using the detected boundary line, an in-frame scanning portion configured to acquire a dividing point that divides a pair of facing sides of the boundary lines that define the parking frame and to scan the image through the dividing point to detect an edge, a storage portion configured to store a state of an edge and an attribute of the parking frame by linking them, and a determination portion configured to determine an attribute of the parking frame by using a state of the detected edge and the stored attribute of the parking frame that is linked to the state of the edge stored in the storage portion.

Abstract: Provided are a depth image processing method, a depth image processing apparatus, an electronic device and a readable storage medium. The method includes: (101) obtaining consecutive n depth image frames; (102) determining a trusted pixel and determining a smoothing factor corresponding to the trusted pixel; (103) determining a time similarity weight; (104) determining a content similarity; (105) determining a content similarity weight based on the content similarity and the smoothing factor; and (106) performing filtering processing on a depth value of the trusted pixel based on all time similarity weights and all content similarity weights.

Abstract: In one implementation, a method includes: obtaining a first depth estimation characterizing a distance between the device and a surface in a real-world environment, wherein the first depth estimation is derived from image data including a representation of the surface; receiving, using the audio transceiver, an acoustic reflection of an acoustic wave, wherein the acoustic wave is transmitted in a known direction relative to the device; and determining a second depth estimation based on the acoustic reflection, wherein the second depth estimation characterizes the distance between the device and the surface in the real-world environment; and determining a confirmed depth estimation characterizing the distance between the device and the surface based on resolving any mismatch between the first depth estimation and the second depth estimation.

Abstract: A computer-implemented method for image capture by a mobile device, comprising: receiving, by a video capturing application running on a mobile device, a video stream from a camera of the mobile device; identifying a specific frame of the video stream; generating a plurality of hypotheses defining image borders within the specific frame; selecting, by a neural network, a particular hypothesis among the plurality of hypotheses; producing a candidate image by applying the particular hypothesis to the specific frame; determining a value of a quality metric of the candidate image; determining that the value of the quality metric of the candidate image exceeds one or more values of the quality metric of one or more previously processed images extracted from the video stream; wherein the image capture application is a zero-footprint application.

Abstract: Systems and methods for image processing are described. Embodiments of the present disclosure receive an image having a plurality of object instances; encode the image to obtain image features; decode the image features to obtain object features; generate object detection information based on the object features using an object detection branch, wherein the object detection branch is trained based on a first training set using a detection loss; generate semantic segmentation information based on the object features using a semantic segmentation branch, wherein the semantic segmentation branch is trained based on a second training set different from the first training set using a semantic segmentation loss; and combine the object detection information and the semantic segmentation information to obtain panoptic segmentation information that indicates which pixels of the image correspond to each of the plurality of object instances.

Abstract: A fingerprint image processing device includes a memory, and a processor coupled to the memory. The processor performs operations. The operations include reading a tenprint card image which includes a plurality of fingerprint patterns and at least one ruled line to separate one fingerprint imprint area from another fingerprint imprint area, and extracting from the tenprint card image a fingerprint image which includes at least one of the fingerprint patterns, apart of a fingerprint imprint area, and a part of a next fingerprint imprint area.

Abstract: Embodiments of this disclosure include a training method for an image processing model. In the method, parameters of an encoder in the image processing model are updated according to a to-be-replaced face in an original image, to configure the encoder to encode the to-be-replaced face to obtain a visual feature of the to-be-replaced face. Parameters of a decoder in the image processing model are updated according to the to-be-replaced face in the original image, to configure the decoder to perform decoding based on the visual feature of the to-be-replaced face. The parameters of the decoder are further updated according to a target face in a target image without changing the parameters of the encoder, to configure the decoder to perform decoding based on the visual feature of the to-be-replaced face and obtain a target face having the same visual feature as the to-be-replaced face.

Abstract: Techniques for facilitating image color correction are provided. In one example, a method includes receiving an image. The method further includes determining, based at least on the image, a first scaling value and a second scaling value. The method further includes applying the first scaling value to the image to obtain a scaled image. The method further includes applying a color correction matrix (CCM) to the scaled image to obtain a CCM image. The method further includes applying the second scaling value to the CCM image to obtain a color corrected image. Related devices and systems are also provided.

Abstract: Disclosed is method, a user interface, a computer program product and a system for predicting future development of a dental condition of a patient's set of teeth, wherein the method comprises:—obtaining two or more digital 3D representations for the teeth recorded at different points in time;—deriving based on the obtained digital 3D representations a formula expressing the development of the dental condition in terms of at least one parameter as a function of time; and—predicting the future development of the condition based on the derived formula.

Abstract: According to one or more embodiments, an image processing device includes a storage device and a processor. The storage device stores a plurality of time-series images. The processor extracts one or more feature points of a first image of the time-series images, sets a search range for one or more corresponding points of the feature points in a second image of the time-series images, searches for the one or more corresponding points in the search range of the second image, if there are a plurality of corresponding points searched, associates the searched corresponding points with the feature points based on a positional relationship between the corresponding points.

Abstract: Disclosed herein are methods, systems, and apparatus for automated license plate recognition and methods for training a machine learning model to undertake automated license plate recognition. For example, a method can comprise dividing an image or video frame comprising a license plate into a plurality of image patches, determining a positional vector for each of the image patches, adding the positional vector to each of the image patches and inputting the image patches and their associated positional vectors to a text-adapted vision transformer. The text-adapted vision transformer can be configured to output a prediction concerning the license plate number of the license plate.

Abstract: Computer-implemented methods and systems for colour-based image tagging and colour-based searching. The method may include identifying, using image analysis, one or more dominant colours of a product based on an image of the product and receiving selection of at least one of the one or more dominant colours. In response to receiving the selection of the at least one of the one or more dominant colours, a search for products matching the at least one of the one or more dominant colours may be initiated to obtain one or more results of the searching, the one or more results including at least one product matching the at least one of the one or more dominant colours.

Abstract: A system and method for measuring distances related to a target object depicted in an image. A captured digital image is obtained containing a scene with a target object whose dimension is to be measured. The digital image may contain a target object dimension identified by one or more ancillary objects and a reference object in the same or different planes. Image processing is performed to find the reference object using known fiducial patterns printed on the reference object, metadata supplied by a user and/or by the detection of colored papers in the scene of the captured image. Once located and measured, the reference object is used to calculate a pixel scale factor used to measure the target object dimensions. Target object dimensions are provided to an automated or semi-automated measurement process, design and manufacturing system such that customized parts for a supplemental fenestration are provided to end users.