Abstract: Some of pixels in a general image sensor for image capturing are designated as vision pixels used for vision recognition. Optical information obtained only from the vision pixels is used to perform vision recognition in the vision recognition mode. Capturing image data is generated based on optical information obtained from all the pixels in the image data in the image-shooting mode. A digital signal converter that converts optical information obtained only from vision pixels into a digital signal is separately provided in addition to a digital signal converter that converts optical information of all pixels in the image sensor into a digital signal.

Abstract: A system for thermal transient imaging of an object includes a radiation source configured to irradiate the object with radiation in accordance with an excitation profile. An imaging device includes an array of detector pixels and is configured to detect thermal radiation from a surface of the object. A processor is configured to obtain a series of frames of thermal image data of the surface acquired by the imaging device over time when the object is irradiated by the radiation source. The processor is further configured to process, using the excitation profile, the series of frames of thermal image data to transform the thermal image data to an equivalent wave field representation that represents a series of depth-resolved virtual images of the object.

Abstract: An image processing device includes: a reference area setting unit which sets a reference area including an indicated segment; an extraction unit which extracts an interest object feature quantity indicating a first feature from the reference area; an interest area setting unit which sets an area of interest in a third image, based on a relationship between a position of a feature point extracted from a feature area which is an area corresponding to an object of interest and included in a second image and a position of a feature point in the third image corresponding to the extracted feature point; and a tracking unit which determines for each of two or more of plural segments included in the area of interest with use of the interest object feature quantity whether the segment is a segment corresponding to the object of interest.

Abstract: A method is described including storing reference vector data corresponding to user gestures at a plurality of neurons at pattern matching hardware, receiving real time signals from the sensor array and performing gesture recognition using the pattern matching hardware to compare incoming vector data corresponding to the real time signals with the reference vector data.

Abstract: A novel method for simulating radiation dose reduction that enables previews of low-dose x-ray projection images, low-dose computed tomography images and/or cone-beam CT images. Given an existing projection or set of projections of the patient acquired at a nominal dose, the method provides a means to produce highly accurate preview images that accurately reflect the image quality associated with reduced radiation dose. The low-dose preview image accounts for characteristics of the imaging system, including blur, variations in detector gain and electronic noise, and does so in a manner that yields accurate depiction of the magnitude and correlation of image noise in the preview images. A calibration step may be included to establish the system-specific relationship between the mean and variance in detector signal, and incorporate an accurate model for system blur such that correlations in the resulting LDP images are accurate.

Abstract: A method and system of selecting a surface finish for a computer designed component associated with an anatomical area of a specific patient. A computer designed component is created. The component includes at least one surface. An interface of finishing software displays an image of the component and the at least one surface. A plurality of finishes available for the at least one surface is displayed. A selection of one of the plurality of finishes for the at least one surface is input by a user. The component data and finishing data may then be sent to a computer aided manufacturing system to manufacture the computer designed component.

Abstract: A learning system (100) includes an information transfer apparatus (10) and a learning processing apparatus (20). The information transfer apparatus (10) includes: an analysis unit (11) that obtains data serving as a learning target, compares the obtained data with a reference model, and assigns, to the data, an index indicating a degree of worthiness of the data as the learning target; and a transmission processing unit (12) that transmits the data to the learning processing apparatus (20) based on a rule that has been set using the index. The learning processing apparatus (20) includes a learning processing unit (21) that updates the model or generates a new model based on the data transmitted from the information transfer apparatus (10).

Abstract: Apparatus and methods for detecting and utilizing saliency in digital images. In one implementation, salient objects may be detected based on analysis of pixel characteristics. Least frequently occurring pixel values may be deemed as salient. Pixel values in an image may be compared to a reference. Color distance may be determined based on a difference between reference color and pixel color. Individual image channels may be scaled when determining saliency in a multi-channel image. Areas of high saliency may be analyzed to determine object position, shape, and/or color. Multiple saliency maps may be additively or multiplicative combined in order to improve detection performance (e.g., reduce number of false positives). Methodologies described herein may enable robust tracking of objects utilizing fewer determination resources. Efficient implementation of the methods described below may allow them to be used for example on board a robot (or autonomous vehicle) or a mobile determining platform.

Abstract: An image screening apparatus includes an image scanner that scans an object and generates an image of the object; at least one portable image viewing device; and a controller including circuitry configured to transmit the generated image to the at least one portable image viewing device, trigger display of the transmitted image on a screen of at least one of the portable image viewing devices, and match the displayed image with the scanned object. An area of interest of the scanned object can be displayed on one portable image viewing device by hovering the one portable image viewing device over the area of interest.

Abstract: The present document is directed to methods and systems that identify and characterize subimages in images that each includes an image of a human face. In certain implementations, values for attributes, such as age, ethnicity, and gender, are assigned to face-containing subimages by the currently disclosed methods and systems. In these implementations, multiple feature-extractors output feature vectors that are distributed among attribute classifiers which consist of individual classifiers and, more often, multiple individual classifiers within aggregate classifiers. Attribute classifiers return indications of attribute values along with a probability value. Attribute classifiers are ordered with respect to reliability and applied in reliability order to generate attribute-assignment paths through a logical attribute-assignment tree, with uncertain attribute assignments generating multiple lower-level pathways.

Abstract: Apparatus and methods for detecting and utilizing saliency in digital images. In one implementation, salient objects may be detected based on analysis of pixel characteristics. Least frequently occurring pixel values may be deemed as salient. Pixel values in an image may be compared to a reference. Color distance may be determined based on a difference between reference color and pixel color. Individual image channels may be scaled when determining saliency in a multi-channel image. Areas of high saliency may be analyzed to determine object position, shape, and/or color. Multiple saliency maps may be additively or multiplicative combined in order to improve detection performance (e.g., reduce number of false positives). Methodologies described herein may enable robust tracking of objects utilizing fewer determination resources. Efficient implementation of the methods described below may allow them to be used for example on board a robot (or autonomous vehicle) or a mobile determining platform.

Abstract: Approaches provide for identifying text represented in image data as well as determining a location or region of the image data that includes the text represented in the image data. For example, a camera of a computing device can be used to capture a live camera view of one or more items. The live camera view can be presented to the user on a display screen of the computing device. An application executing on the computing device or at least in communication with the computing device can analyze the image data of the live camera view to identify text represented in the image data as well as determine locations or regions of the image that include the representations.

Abstract: A method, a non-transitory computer-readable storage medium, and an image processing apparatus are provided for performing iterative reconstruction to generate a medical image. The method includes generating, by circuitry of the image processing apparatus, a first image data set by separately back projecting subsets of a first view data set. Each of the subsets of the first view data set corresponds to one of a plurality of different non-overlapping sections of the medical image to be reconstructed. The method further includes generating, by the circuitry, a second view data set by separately forward projecting subsets of the first image data set. Each of the subsets of the first image data set corresponds to one of the sections of the medical image to be reconstructed. Further, the step of generating the second view data set starts before the step of generating the first image data set is completed.

Abstract: A detection system that detects subsurface objects within a medium and estimates various features of the objects is provided. The detection system receives a streaming sequence of image frames of the medium at various along-medium locations. An image frame contains voxel values (intensities) representing characteristics of the medium across the medium and in the depth (range) direction. The detection system depth-compensates the intensities for determining which voxels are part of an object using an unsupervised binary classifier. The detection system then connects object voxels into distinct objects and recursively estimates the features of those objects as the image frames stream based on the locations and intensities of the object voxels.

Abstract: An image processing apparatus according to an embodiment includes a first frequency image generating circuitry, a second frequency image generating circuitry, a signal detecting circuitry, and a display image generating circuitry. The first frequency image generating circuitry performs, on an object pixel of processing, processing based on a pixel value of a neighboring pixel positioned close to the pixel to generate first frequency image data including a specific contrast component and a first frequency component on image data. The second frequency image generating circuitry performs processing of subtracting the first frequency image data from the image data to generate second frequency image data including a second frequency component. The signal detecting circuitry detects a linear signal derived from a linear structural object from the second frequency image data. The display image generating circuitry generates a display image according to the linear signal detected.

Abstract: The present disclosure provides a detection method and apparatus for fingerprint detection. The method comprises: S1. detecting a capacitance on a detection electrode which a fingerprint detection apparatus comprises; S2: when the capacitance exceeds a predetermined capacitance threshold, enabling a part of detection units of a fingerprint detection array to perform fingerprint pre-detection, and acquiring data information of the fingerprint pre-detection; and S3: when the data information exceeds a first predetermined threshold, enabling all the detection units of the fingerprint detection array to perform fingerprint scanning. With the method for fingerprint detection to according to the embodiments of the present disclosure, the fingerprint detection array is initiated for full-array scanning upon reliable and effective identification that a finger touches a fingerprint detection apparatus, which greatly reduces the power consumption of the fingerprint detection.

Abstract: An information presentation device according to embodiment includes acquisition unit, generation unit, and output unit. Acquisition unit acquires information of driving history with respect to driving position in driving lane of vehicle, where information is generated by on-vehicle device based on image captured by imaging device that is mounted on vehicle. Generation unit generates information of graph that indicates transition of positional change of vehicle in driving lane, based on information of driving history acquired by acquisition unit. Output unit outputs information of graph generated by generation unit to display device. Acquisition unit acquires information of driving history that includes distances of right and left edge of driving lane with respect to vehicle. Generation unit generates information of graph based on difference between distances of right and left edge of driving lane with respect to vehicle that is included in information of driving history acquired by acquisition unit.

Abstract: This application involves a crime scene footprint photography and extraction method and extraction device that can photograph a first image of the footprint in the oblique light from a fixed angle, and a second image of the footprint in the diffuse reflected light from a fixed angle; divide the first image's brightness component V1 by the second image's brightness component V2 to produce their brightness distribution ratio V3; and extract a third image corresponding to the brightness distribution ratio V3. According to the technical scheme of this application, the technology has a better image collection effect, and can provide better image materials for future footprint acquisition and identification, and can also remove the patterns of the footprint trace carrier, and leave only footprint images displayed clearly and cognizably. Moreover, the method is simple and the results are more accurate.

Abstract: A commodity recognition apparatus comprises an image interface configured to acquire the image of a commodity photographed by a camera and a processor configured to detect a commodity image from the images acquired via the image interface, carry out a commodity recognition processing for recognizing commodity candidates according to the feature amount extracted from the commodity image and a code reading processing for reading a commodity recognition code from the same commodity image in parallel, and as a result determine a commodity recognition code if the commodity recognition code is read through the code reading processing or output the result of the commodity recognition processing if no commodity recognition code is read and the photographing period for the commodity is ended.

Abstract: An automated guidance system for a coordinated movement machine includes a camera and a processor. The camera is mounted to a movable component of the coordinated movement machine. The processor is configured to visually recognize individual workpieces among a plurality of similarly shaped workpieces using a program running on the processor. The processor is further configured to determine x, y and z and Rx, Ry and Rz of the movable component with respect to each recognized workpiece among the plurality of recognized workpieces, and to move the movable component of the coordinated movement machine after determining x, y and z and Rx, Ry and Rz of the movable component.