Abstract: The invention provides a method, a system and a computer-readable medium for calibrating a camera by using a multi-pattern calibration rig, each pattern being repetitive and comprising calibration shapes, wherein the following steps are carried out: capturing an image of the multi-pattern calibration rig with the camera, segmenting contours of the imaged calibration shapes, building groups of coherent contours based on the similarity of their shapes and their distances from each other, and identifying the positions of the patterns in the image based on the contour groups.

Abstract: A system and method that identifies an object and a viewpoint from an image with a probability that satisfies a predefined criterion is described. An active view planning application receives a first image, performs recognition on the first image to determine an object, a viewpoint and a probability of recognition, determines a first expected gain in the probability of recognition when a first action is taken and a second expected gain in the probability of recognition when a second action is taken, and identifies a next action from the first action and the second action based on an increase in expected gains.

Abstract: A system for detecting defects on a semiconductor sample includes an illumination module for directing a nonzero-order Gaussian illumination beam towards a plurality of locations on a sample and a collection module for detecting light scattered from the sample in response to the nonzero-order Gaussian illumination beams and generating a plurality of output images or signals for each location on the sample. The system further comprises a processor system for detecting defects by (i) processing the output images or signals so as to retain filtered image or signal portions that substantially match a point spread function of the one or more nonzero-order Gaussian illumination beams, and (ii) analyzing the filtered image or signal portions to detect defects on the sample.

Abstract: SLAM systems are provided that utilize an artificial neural network to both map environments and locate positions within the environments. In some example embodiments, a sensor arrangement is used to map an environment. The sensor arrangement acquires sensor data from the various sensors and associates the sensor data, or data derived from the sensor data, with spatial regions in the environment. The sensor data may include image data and inertial measurement data that effectively describes the visual appearance of a spatial region at a particular location and orientation. This diverse sensor data may be fused into camera poses. The map of the environment includes camera poses organized by spatial region within the environment. Further, in these examples, an artificial neural network is adapted to the features of the environment by a transfer learning process using image data associated with camera poses.

Abstract: A method and apparatus for automatically performing medical image analysis tasks using deep image-to-image network (DI2IN) learning. An input medical image of a patient is received. An output image that provides a result of a target medical image analysis task on the input medical image is automatically generated using a trained deep image-to-image network (DI2IN). The trained DI2IN uses a conditional random field (CRF) energy function to estimate the output image based on the input medical image and uses a trained deep learning network to model unary and pairwise terms of the CRF energy function. The DI2IN may be trained on an image with multiple resolutions. The input image may be split into multiple parts and a separate DI2IN may be trained for each part. Furthermore, the multi-scale and multi-part schemes can be combined to train a multi-scale multi-part DI2IN.

Abstract: An automated optical inspection (AOI) system can comprise aligning a wafer comprising a plurality of unit specific patterns. A plurality of unique reference standards can be created as a plurality of electrical nets by generating with a computer an electrical net for each of the unit specific patterns, each of the plurality of electrical nets comprising a start point and an end point. An image of each of the plurality of unit specific patterns can be captured with a camera. The image can be processed with the computer to provide a plurality of extracted boundaries of contiguous electrically conductive regions. Defects in the plurality of unit specific patterns, if present, can be detected by comparing each of the extracted boundaries of contiguous electrically conductive regions to a corresponding one of the plurality of unique reference standards. An output of known good die can be created.

Abstract: In various implementations, a personal asset management application is configured to perform operations that facilitate the ability to search multiple images, irrespective of the images having characterizing tags associated therewith or without, based on a simple text-based query. A first search is conducted by processing a text-based query to produce a first set of result images used to further generate a visually-based query based on the first set of result images. A second search is conducted employing the visually-based query that was based on the first set of result images received in accordance with the first search conducted and based on the text-based query. The second search can generate a second set of result images, each having visual similarity to at least one of the images generated for the first set of result images.

Abstract: Methods for providing relevance-based, image centric information are provided. The methods may include receiving an image. The methods include linking each received image to an appropriate selected standard format. The selection may be based on a greatest degree of relevance between the image and the selected format. The methods include converting each image into a linked standard format. The methods include loading the converted images into a database. The methods include searching the database utilizing a query. The methods include returning a plurality of resultant images in response to the query. The methods include determining a search relevance result value for each resultant image. The search relevance result value being based on the level at which the document fits the query. The methods include ordering the resultant images based on the search relevance result values. The methods include arranging the images and associated metadata on a four-regioned user interfacing display.

Abstract: Images that comprise text are identified and output from the images is generated wherein the output comprises text from the image in textual data format. The portions of an image comprising the text data are initially identified and the text imaged by the pixels of that image portion is extracted in textual data format. The extracted text is stored so that a search for images comprising particular text is enabled.

Abstract: A method and an apparatus are provided for detecting and classifying an active matrix organic light emitting diode panel. The method includes: comparing images to be compared which are collected from the active matrix organic light emitting diode panel with template images in a preset template image library; classifying the active matrix organic light emitting diode panel depending on results of the comparing.

Abstract: Various approaches enable a user to capture image information (e.g., still images or video) about an object of interest such as the sole of a shoe or other piece of footwear (e.g., a sandal) and receive information about items that are determined to match footwear based at least in part on the image information. For example, an image analyze service or other similar service can analyze the images to determine a type of shoe included within the images based at least in part on patterns of other distinguishing features of the sole of the shoe. The image analysis service can aggregate the results and can provide information about the results as a set of matches or results to be displayed to a user in response to a visual search query. The information can include, for example, descriptions, contact information, availability, location data, pricing information, and other such information.

Abstract: Digital images, such as digital photographs, are analyzed by an application running on a user device or other computing apparatus. Heuristics, characteristic detection or measurement techniques, or other analytics are used to evaluate individual digital images or to compare a plurality of digital images in accordance with user-input criteria. Digital images are then presented to a user as a result of the analysis, and further operations may be performed per user selections or input. Numerous digital images may thus be timely evaluated for aesthetic appeal, composition, subject matter content, or other factors, and then deleted, printed, distributed, or put other use.

Abstract: Some implementations may include a method for watermarking an identification document, the method including: receiving a digitally watermarked digital facial portrait of the person, the digital facial portrait embedded with at least one digital watermark identifying payload data linking the digital facial portrait to the person portrayed in the digital facial portrait; receiving results of comparison between the digital facial portrait of the person and the person presenting the digitally watermarked digital facial portrait; retrieving the at least one digital watermark in response to receiving comparison results that the person portrayed in the digital facial portrait is the person presenting the digitally watermarked digital facial portrait; and determining that the digital facial portrait is authentic based on the retrieved at least one digital watermark.

Abstract: A laser beam welding diagnosis apparatus includes: an imaging unit configured to capture images of a laser beam welding penetration side of a laser beam welded portion at a predetermined time interval; a feature amount calculating unit configured to calculate, from an image captured by the imaging unit, a feature amount of a jetted portion accompanying laser beam welding penetration; a welding diagnosis unit configured to determine that a welding defect in the laser beam welded portion has occurred when values of the feature amounts of a predetermined area around the laser beam welded portion on the laser beam welding penetration side become equal to or less than a predetermined value for a predetermined duration or longer; and an output unit configured to output a welding quality state including the occurrence of the welding defect.

Abstract: Systems and methods for test object classification are provided in which the test object is docked with a target object in a plurality of different poses to form voxel maps. The maps are vectorized and fed into a convolutional neural network comprising an input layer, a plurality of individually weighted convolutional layers, and an output scorer. The convolutional layers include initial and final layers. Responsive to vectorized input, the input layer feeds values into the initial convolutional layer. Each respective convolutional layer, other than the final convolutional layer, feeds intermediate values as a function of the weights and input values of the respective layer into another of the convolutional layers. The final convolutional layer feeds values into one or more fully connected layers as a function of the final layer weights and input values. The one or more full connected layers feed values into the scorer which scores each input vector to thereby classify the test object.

Abstract: Some implementations may provide a method that includes: receiving, at a mobile device, data encoding a first digital watermark present on the identification document; extracting a first portion of personally identifiable information encoded by a spatial luminance pattern associated with the first digital watermark; receiving, at a mobile device, data encoding a second digital watermark present on the identification document; extracting a second portion of personally identifiable information encoded by a spatial luminance pattern associated with the first digital watermark; and validating the identification document based on at least one of the first portion of personally identifiable information or the second portion of personally identifiable information.

Abstract: A display device includes: an input unit which has image data inputted from an image supply device; a detection unit which detects a position of an indicator and generates indicator information including information about the detected position; a setting unit which sets a mode for processing of the indicator information to a first mode or a second mode; a drawing unit which draws a second image generated on the basis of the indicator information and superimpose the second image on a first image generated on the basis of the inputted image data; a selection unit which outputs the indicator information to the drawing unit if the first mode is set and which outputs the indicator information to the image supply device if the second mode is set; and a drawing control unit which erases the second image if a switching from the first mode to the second mode is carried out.

Abstract: An image processing apparatus includes an object detection unit configured to detect an object from an image, a tracking unit configured to track the detected object, a trajectory management unit configured to manage a trajectory of the object being tracked, and a specific object detection unit configured to detect a specific object from the image. In a case where the specific object determination unit detects the object being tracked by the object tracking unit to be the specific object, the trajectory management unit manages a trajectory of the object being tracked at a time point before the time point the object being tracked is detected to be the specific object as the trajectory of the specific object.

Abstract: A method for detecting one or more topic transitions in a multimedia content includes identifying, one or more frames from a plurality of frames of the multimedia content based on a comparison between one or more content items in a first frame of the plurality of frames, and the one or more content items in a first set of frames of the plurality of frames. The method further includes determining at least a first score, and a second score for each of the one or more frames. Additionally, the method includes determining a likelihood for each of the one or more frames based at least on the first score, and the second score, wherein the likelihood is indicative of a topic transition among the one or more frames.

Abstract: An information processing apparatus includes an information recognition unit, an acquiring unit, and a recording unit. The information recognition unit recognizes a description written in each of one or more description areas. The acquiring unit acquires attribute information of the description area in which the description is written. The recording unit records the description written in the description area or a recognition result obtained through the recognition performed by the information recognition unit in accordance with the attribute information acquired by the acquiring unit.