Abstract: A concept of characterizing an object based on measurement samples from one or more location sensors, the measurement samples having a first spatial resolution. The measurement samples are quantized to a grid map of weighted cells having a second spatial resolution lower than the first spatial resolution, wherein a measurement sample contributes to a weight coefficient of one or more weighted cells depending on a measurement accuracy. Parameters of one or more lines fitting the weighted cells are computed to obtain a characterization of the object.

Abstract: A three-dimensional depth measuring method using a structured light camera comprising a first projector, a second projector, and an optical sensor, according to the present disclosure, comprises: a step in which a first light pattern is projected by the first projector; a step in which a second light pattern is projected by the second projector; a step of filtering, by a color filter, a third light pattern in which the first light pattern and the second light pattern reflected from an object overlap, so as to separate the third light pattern into a first filtered pattern and a second filtered pattern; a step of localizing the first filtered pattern and classifying first feature points of the first filtered pattern; a step of localizing the second filtered pattern and classifying second feature points of the second filtered pattern; and a step of obtaining position information of the object on the basis of the first feature points and the second feature points.

Abstract: An information processing method calculates a position of a feature corresponding to a trace in a first coordinate system, calculates a position of the feature corresponding to the trace in a second coordinate system, and calculates a size of a first distribution of the position of the feature corresponding to the trace in the first coordinate system and a size of a second distribution of the position of the feature corresponding to the trace in the second coordinate system. Additionally, the information processing method outputs information indicating that the feature corresponding to the trace is the trace formed on the surface of the workpiece in the machining process, and outputs information indicating that the feature corresponding to the trace is a false detection of the trace in the inspection process.

Abstract: The technique of the present disclosure can add a gloss to image data according to the hair flow of a subject. An image data obtaining unit obtains input image data, and a characteristic amount calculating unit calculates characteristic amounts for the input image data. The characteristic amount calculating unit obtains a degree to which directions of hair flow are concentrated to a predetermined direction (a degree of alignment) in a predetermined range based on the directions of hair flow, and sets this as a characteristic amount indicative of the degree of alignment of the directions of hair flow. A determining unit estimates the state of the hair flow of the entire input image data based on the characteristic amounts thus calculated, and determines whether to correct the input image data. A correcting unit performs a gloss adding correction to the input image data.

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: Interactive based on said set steps of authentication methods for the recognition of a person. During authentication, a previously stored enrollment image is presented on a display to the person. A candidate person is instructed to present a reproduced image of the same scene and/or object to a camera while the person is holding the camera (mobile camera for example) unsupported in free space with respect to the scene or object. Alternatively the user can hold the object unsupported in free space with respect the camera using the camera, a candidate image of the viewed scene or object is captured and presented with the previously stored enrollment image. The candidate person aligns the candidate image with the previously stored enrollment image. On alignment, the candidate image is verified as an authentic image of the person and the candidate person is authenticated as the person previously enrolled.

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: Methods and systems are described for assessing a vessel obstruction. The methods and systems obtain a volumetric image dataset of a myocardium and at least one coronary vessel, wherein the myocardium comprises muscular tissue of the heart. A three-dimensional (3D) image corresponding to a coronary vessel of interest is created from the volumetric image dataset. Feature data that represents features of both the myocardium and the coronary vessel of interest is generated. At least some of the feature data is determined by a first machine learning-based model based on the 3D image. A second machine learning-based model is used to determine at least one parameter based on the feature data, wherein the at least one parameter represents functionally significant coronary lesion severity of the coronary vessel of interest.

Abstract: A computer-implemented method of detecting an object depicted in a digital image includes: detecting a plurality of identifying features of the object, wherein the plurality of identifying features are located internally with respect to the object; projecting a location of region(s) of interest of the object based on the plurality of identifying features, where each region of interest depicts content; building and/or selecting an extraction model configured to extract the content based at least in part on: the location of the region(s) of interest, the of identifying feature(s), or both; and extracting the some or all of the content from the digital image using the extraction model. Corresponding system and computer program product embodiments are disclosed. The inventive concepts enable reliable extraction of data from digital images where portions of an object are obscured/missing, and/or depicted on a complex background.

Abstract: A generic gesture detecting method executed by a generic gesture detecting device includes steps of: receiving a current sensing signal from a sensing unit; generating a current image according to the current sensing signal; determining whether the current image is similar with a stored image stored in a memory unit; when the current image is similar with the stored image, detecting the current image and the stored image to be a gesture signal; when the current image is different from the stored image, storing the current image into the memory unit, and returning to the step of receiving a current sensing signal. Since the generic gesture detecting device can automatically detect the gesture signal, the user may not need to enable a detecting time period before implementing a command motion. Therefore, the user can make the command motion without enabling the detecting time period, and the convenience can be increased.

Abstract: An image processing apparatus includes a processor that performs image processing and that is constructed by using a reconfigurable-circuit device whose circuit is reconfigurable. The processor is configured to acquire image data that corresponds to each of one or more small regions into which an image is divided, determine a feature of the image data that is acquired and that corresponds to each of the one or more small regions, select a circuit configuration and perform processing in accordance with the obtained feature of the image data that corresponds to each of the one or more small regions, and cause a repository to retain rendering information, which is the image data that corresponds to each of the one or more small regions and that has undergone the processing.

Abstract: Devices and techniques are generally described for class-agnostic object detection. In some examples, a first frame of image data comprising a first plurality of pixels may be received. First class-agnostic feature data representing the first plurality of pixels may be generated. A first object detection component may be used to determine that the first plurality of pixels corresponds to an arbitrary object represented in the first frame of image data based at least in part on the first class-agnostic feature data. Class-agnostic data indicating that the first plurality of pixels in the first frame of image data corresponds to the arbitrary object may be generated.

Abstract: A measurement information acquisition unit acquires depth information indicating a depth in a detection range measured by a depth measurement device that measures the depth. An image acquisition unit acquires an image of the detection range captured by an imaging device that captures the image. A depth extraction unit extracts partial depth information in which a portion not being subject to a determination of being foreign matter or not is removed from the depth information, based on the acquired image. A foreign matter determination unit determines presence or absence of foreign matter in the detection range based on the partial depth information.

Abstract: A monitoring system for determining a stickup height of a drill string. The monitoring system includes a video camera operable to facilitate a digital image, a block position sensor operable to facilitate block position measurements, and/or a processing device. The processing device receives the digital image, recognizes an upper end of the drill string or a connection joint of the drill string on the digital image, and determines the stickup height based on location of the upper end of the drill string or the connection joint of the drill string on the digital image. The processing device may also or instead record a pipe tally indicative of a length of each drill pipe and a location of each drill pipe within the drill string, receive the block position measurements, and determine the stickup height based on the pipe tally and block position measurements.

Abstract: Techniques related to automatically segmenting a video frame into fine grain object of interest and background regions using a ground truth segmentation of an object in a previous frame are discussed. Such techniques apply multiple levels of segmentation tracking and prediction based on color, shape, and motion of the segmentation to determine per-pixel object probabilities, and solve an energy summation model to generate a final segmentation for the video frame using the object probabilities.

Abstract: The technique of the present disclosure can add a gloss to image data according to the hair flow of a subject. An image data obtaining unit obtains input image data, and a characteristic amount calculating unit calculates characteristic amounts for the input image data. The characteristic amount calculating unit obtains a degree to which directions of hair flow are concentrated to a predetermined direction (a degree of alignment) in a predetermined range based on the directions of hair flow, and sets this as a characteristic amount indicative of the degree of alignment of the directions of hair flow. A determining unit estimates the state of the hair flow of the entire input image data based on the characteristic amounts thus calculated, and determines whether to correct the input image data. A correcting unit performs a gloss adding correction to the input image data.

Abstract: An information processing device configured to: acquire an image captured according to an imaging instruction by a mobile object; acquire sensor information including position information about the mobile object according to an exposure notification signal transmitted at a fixed timing that is relative to an exposure end timing of the captured image, the exposure notification signal being transmitted in response to the imaging instruction; and store the position information included in the acquired sensor information in association with the acquired image.

Abstract: The present disclosure provides an image processing method and apparatus, an electronic device and a storage medium, which relate to the field of computer technology, and more particularly to artificial intelligence technology including computer vision, deep learning and the like. The image processing method includes: recognizing the image to be processed to determine attribute information of each object included in the image to be processed; determining a target thermal image to be recognized according to the attribute information of each object and the image to be processed; reconstructing the target thermal image to generate a first reconstructed image; and determining whether the image to be processed includes an object of a preset class according to a difference between the first reconstructed image and the target thermal image.

Abstract: Methods and apparatus for using one or more feature recognition system(s) to identify features in a scanned image and to associate tags with identified features are described. Probabilities of a feature being present are taken into consideration in some embodiments. In various embodiments once a tag has been determined as corresponding to a feature which has been confirmed as being in the scanned image synonyms for the tag word are identified and also associated with the scanned image. By using results of multiple automated feature recognition systems and generating overall probabilities that a feature is present in an image more reliable tagging can be implemented in an automated manner than in system which rely on a single AI system without the need for extensive operator input with respect to identification of all features in the image which are to be tagged.

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.