Abstract: Embodiments of the invention are directed to a method and resulting structures for identifying an integrated circuit (IC) chip using optically-unique features. In a non-limiting embodiment of the invention, an imaging device generates an image of the chip. One or more optical features of the chip within the image can be determined and stored in a local or remote database. Metadata associated with the chip can be generated and linked with the one or more optical features of the chip and a unique identifier of the chip in the database.

Abstract: The present invention discloses a distance statistics based method for 3D sonar point cloud image enhancement, comprising the following steps: (1) obtaining sonar data, and converting 3D sonar range image information corresponding to sonar data per frame into point cloud data in global coordinate; (2) using a kd-tree to search the point cloud data, and calculate Euclidean distance Lij between point Pi and the nearest K point cloud data; wherein, value range of i and j is 1?i?N and 1?j?K respectively; N refers to the total quantity of point cloud data; (3) excluding point cloud data corresponding to mean value of Lij which do not match the certain Gaussian distribution, and complete enhancement of 3D sonar point cloud image. Such method features in easy operation, high efficiency and convenience, which can effectively remove outlier points to minimize noise, and enhance point cloud image.

Abstract: An image processing apparatus includes a character determining unit configured to divide the read image into multiple blocks, each of the multiple blocks including multiple characters, and determine an inclination of each of the multiple characters included in each of the multiple blocks, a block processing unit configured to detect a change point block, the change point block being a block including characters having an inclination included in a first inclination interval, a number of the characters being equal to or larger than a first threshold, and including characters having an inclination included in a second inclination interval, a number of the characters being equal to or larger than the first threshold, the second inclination interval being different from the first inclination interval, and a fold determining unit configured to determine that the document is folded if the change point block is detected.

Abstract: A method is performed at a computing device for controlling image display during image editing, the method including: loading, into the memory, an obtained to-be-edited image; identifying a primary area in the loaded image, the primary area including one or more objects that are automatically recognized as subjects of the loaded image; adjusting the primary area in the loaded image in accordance with a fitting state between the loaded image and a preset template when a center of the primary area is initially located at a center of a display area of the preset template; and displaying, on the screen, the adjusted primary area in the loaded image to occupy the display area of the template completely.

Abstract: In some aspects, the techniques described herein relate to systems, methods, and computer readable media for generating, based on a set of images, a temporal pixel image comprising a set of temporal pixels, where each temporal pixel in the set of temporal pixels comprises a set of pixel values at an associated position from each image of the set of images. For a first temporal pixel from the set of temporal pixels, saturation data comprising a set of saturation values is generated, where each saturation value of the set of saturation values is associated with a pixel value of the set of pixel values of the first temporal pixel, and each pixel value is compared to a metric to determine a corresponding saturation value.

Abstract: According to an embodiment, a system receives a captured image perceiving one or more lane markers surrounding the ADV from an image capturing device of the ADV. The system detects one or more continuous lane lines based on the one or more lane markers in the captured image by applying a machine learning model to the captured image, where the machine learning model includes a number of layers of nodes and the machine learning model includes a weighted softmax cross-entropy loss within at least one of the layers in training. The system generates a trajectory based on the one or more continuous (e.g., whole) lane lines to control the ADV autonomously according to the trajectory.

Abstract: In some aspects, the techniques described herein relate to systems, methods, and computer readable media for data pre-processing for stereo-temporal image sequences to improve three-dimensional data reconstruction. In some aspects, the techniques described herein relate to systems, methods, and computer readable media for improved correspondence refinement for image areas affected by oversaturation. In some aspects, the techniques described herein relate to systems, methods, and computer readable media configured to fill missing correspondences to improve three-dimensional (3-D) reconstruction. The techniques include identifying image points without correspondences, using existing correspondences and/or other information to generate approximated correspondences, and cross-checking the approximated correspondences to determine whether the approximated correspondences should be used for the image processing.

Abstract: The present disclosure relates to methods and systems for generating a verified minimum viable range (MVR) of an object. An exposed outer corner and exposed edges of an object may be identified by processing one or more image data. An initial MVR may be generated by identifying opposing parallel edges opposing the exposed edges. The initial MVR may be adjusted, and the adjusted result may be tested to generate a verified MVR.

Abstract: A system and a method for counting objects includes the steps of: obtaining a plurality of images representing the objects to be counted in a target area; generating a map for each of the plurality of images representing an identification of each of the corresponding objects; and fusing the plurality of maps being generated to obtain a scene-level density map representing a count of the objects in the target area.

Abstract: Taking a digital implant or abutment level digital impression by means of intra-oral, computed tomography or other imaging method provides the restorative doctor and laboratory accurate and effective data for determining the implant position, angulation and locking feature orientation without a physical impression. Such data is correlated with a digital library to produce an output which enables design and fabrication of an accurate restorative device such as a prosthetic tooth or crown. In this way the time-consuming, costly and error prone mechanical replication of the relevant dental anatomy is obviated.

Abstract: Systems, computer-implemented methods, and non-transitory machine-readable storage media are provided for detecting recapture attacks of images. One method comprises extracting one or more features from an image captured by a device; applying the one or more features as input to a trained machine learning model, wherein the trained machine learning model outputs a first score based on the extracted features; obtaining metadata of the image; performing a statistical analysis of the metadata of the image; generating a second score based on the statistical analysis of the metadata of the image; and generating a probability that the image is a recapture of an original image based on the first score and the second score.

Abstract: A system and method are disclosed for communicating video/images from a first electronic device to a second electronic device via a network. The first electronic device can include a digital video camera and the second electronic device can include a mobile electronic device, such as a smart phone. The method can include, with the first electronic device, acquiring a first image (as part of a video) having a first resolution, transmitting the first image with a second resolution to the second electronic device, receiving a cropping parameter from the second electronic device, acquiring a second image (as part of a video), cropping the second image based on the crop parameter resulting in a third image having a third resolution, and transmitting the third image with the third resolution.

Abstract: Chromatic calibration of a device having an embedded camera proceeds by illuminating a plurality of color references with at least one light source. Images of the respective illuminated color references are captured with the embedded camera. Color calibration data from are determined from the captured images and the color calibration data are stored in association with an identifier of the device.

Abstract: A method and system for determining originality of computer-generated images of document evidence. The method includes receiving a plurality of computer-generated images of document evidence, wherein the plurality of computer-generated images includes at least one original document evidence generated by an approved source; generating a first electronic template for the at least one original document evidence, wherein the generation includes determining a first array of a plurality of regions of interest (ROIs); searching in an evidence repository for at least a second electronic template associated with at least a plurality of second images, wherein the second electronic template having a second array of a plurality of ROls, wherein the first array of ROIs substantially matches the second array of ROIs; and associating the at least one original document evidence with a first originality tag including a first certainty level of originality and the verified entity.

Abstract: A picture data acquisition unit 52 of an information processing device 10 acquires data of frames of a moving picture from an imaging device 12. A picture data storage unit 54 stores data of at least a predetermined number of past frames. A picture adding unit 56 generates a sum picture obtained by adding pictures of the past frame and a current frame together on a pixel value by pixel value basis. An image analysis unit 58 extracts feature points and acquire position information from each of the sum pictures and the pictures of the current frame, and integrates the acquired pieces of position information. An information processing unit 60 performs information processing using the position information, and an output unit 62 outputs a result of the information processing to a display device 16.

Abstract: A target monitoring method, a camera, a controller, and a target monitoring system, where the system includes a first camera and a second camera. An overlapping area exists between fields of view of the first camera and the second camera. The method includes obtaining, location information of a to-be-tracked target in a first monitoring picture when the first camera is used as a current primary monitoring camera, determining, based on the location information of the target in the first monitoring picture, whether a location of the target in the first monitoring picture is in the overlapping area, where the overlapping area is an overlapping range between the fields of view of the first camera and the second camera, and switching, the current primary monitoring camera to the second camera when the location of the target in the first monitoring picture is in the overlapping area.

Abstract: The purpose of the present invention is to provide an object detection device which is capable of accurately estimating the height of a road surface and is capable of reliably detecting an object present on the road surface.

Abstract: A system and methods is provided for performing, by a processor, an initial tone mapping function on a first image to produce a second image. The first and second images are of different dynamic ranges. The method also includes applying, by the processor, a second tone mapping function to the second image when it contains any saturated portions. The second tone mapping function lowers luminance by a first fraction. The overall luminance of the second image is also determined and a fine tuning filter is applied when at least portions of said second image contain areas darker than an amount.

Abstract: Disclosed are systems and methods for performing spoof detection. The method includes: receiving, by a processor from a biometric sensor, an input image of a biometric; analyzing the input image to identify pixels associated with a first feature in the input image; performing a local binary pattern (LBP) analysis on the pixels associated with the first feature, which comprises computing, for a given pixel associated with the first feature, an LBP value corresponding to texture of one or more neighboring pixels around the given pixel, wherein the neighboring pixels around the given pixel comprise eight pixels around the given pixel, including pixels on a top, a bottom, a left, a right, and at four corners of a location of the given pixel; and, determining whether the input image is a replica of the biometric based on results of performing the LBP analysis on the pixels associated with the first feature.

Abstract: In some aspects, the techniques described herein relate to systems, methods, and computer readable media for data pre-processing for stereo-temporal image sequences to improve three-dimensional data reconstruction. In some aspects, the techniques described herein relate to systems, methods, and computer readable media for improved correspondence refinement for image areas affected by oversaturation. In some aspects, the techniques described herein relate to systems, methods, and computer readable media configured to fill missing correspondences to improve three-dimensional (3-D) reconstruction. The techniques include identifying image points without correspondences, using existing correspondences and/or other information to generate approximated correspondences, and cross-checking the approximated correspondences to determine whether the approximated correspondences should be used for the image processing.