Among other things, one or more systems and/or techniques for segmenting a representation of a sheet object from an image are provided herein. To identify elements of an image (e.g., pixels and/or voxels) representative of sheet objects, a constant false alarm rate (CFAR) score and a topological score are computed for respective elements being analyzed. The CFAR score indicates a relationship between an element and a neighborhood of elements when viewed as a collective unit. The topological score indicates a relationship between the element and a neighborhood of elements when viewed neighbor-by-neighbor. When the CFAR score is within a specified range of CFAR scores and the topological score is within a specified range of topological scores, the element is labeled as being associated with a sheet object. A connected component labeling (CCL) approach may be used to group elements labeled as being associated with a sheet object.

A fast object detection method based on deformable part model (DPM) is provided. The method includes importing a trained classifier for object detection, receiving an image frame from a plurality of frames in a video captured by a camera, and identifying regions possibly containing at least one object via objectness measure based on Binarized Normed Gradients (BING). The method also includes calculating Histogram of Oriented Gradients (HOG) feature pyramid of the image frame, performing DPM detection for the identified regions possibly containing the at least one object, and labeling the at least one detected object using at least one rectangle box via non-maximum suppression (NMS). Further, the method includes processing a next frame from the plurality of frames in the captured video until the video ends and outputting object detection results.

Disclosed herein is an imaging apparatus and a controlling method thereof, the imaging apparatus includes an image processing unit generating volume images of an object including a region of interest and extracting a reference plane of the volume images and an area setting unit automatically setting a distance from the reference plane, wherein the image processing unit may generate a 3D data of a region of interest based on a cross sectional data of the reference plane and a cross sectional data contained in a plurality of cross sectional images of the volume images existing in the distance.

An optical object detection apparatus and associated methods. The apparatus may comprise a lens (e.g., fixed-focal length wide aperture lens) and an image sensor. The fixed focal length of the lens may correspond to a depth of field area in front of the lens. When an object enters the depth of field area (e.g., due to a relative motion between the object and the lens) the object representation on the image sensor plane may be in-focus. Objects outside the depth of field area may be out of focus. In-focus representations of objects may be characterized by a greater contrast parameter compared to out of focus representations. One or more images provided by the detection apparatus may be analyzed in order to determine useful information (e.g., an image contrast parameter) of a given image. Based on the image contrast meeting one or more criteria, a detection indication may be produced.

A method for computing a spatial Fourier transform for an event-based system includes receiving an asynchronous event output stream including one or more events from a sensor. The method further includes computing a discrete Fourier transform (DFT) matrix based on dimensions of the sensor. The method also includes computing an output based on the DFT matrix and applying the output to an event processor.

Tracking patterns during a semiconductor fabrication process includes: obtaining an image of a portion of a fabricated device; extracting contours of the portion of the fabricated device from the obtained image; aligning the extracted contour to a matching section of a reference design; decomposing the matching section of the reference design into one or more patterns; and updating a pattern tracking database with information pertaining to at least one pattern in the one or more patterns generated as a result of the decomposition.

According to the present invention, on the basis of the detected surrounding situation the movement of object bodies in the surrounding area is predicted as a future situation in the surrounding area. Candidates of direction from which a moving direction to be shown to the user is determined are extracted on the basis of the predicted future situation in the surrounding area. The extracted candidates are evaluated for movement easiness of the user in the surrounding area on the basis of the predicted future situation in the surrounding area and the detected situation of the user. Then, the moving direction to be shown to the user is determined on the basis of the evaluation and the extracted candidates. A direction corresponding to the determined moving direction is shown to the user in front of the user.

Approaches presented herein enable tracking a physical object with a holographic projection, and, more specifically, enhancing a view of an object by tracking the object with a 3-D holographic projection. A holographic object tracking projection system receives, from a sensor, a feed of an area containing a physical object and locates a position of the physical object in the area based on the feed. The system creates a visible holographic object to mark the physical object, and projects the holographic object, using a holographic projector, at the position of the physical object. The holographic object can be a shape that surrounds the physical object in order to increase a visibility of the physical object. The physical object may move, and, as the physical object moves, the holographic object tracking projection system tracks this movement and adjusts the holographic object to match the movement of the physical object.

A break recommendation method, system, and non-transitory computer readable medium, include a cognitive state tracking circuit configured to track a cognitive state of a user viewing a document, a document identification and difficulty measuring circuit configured to identify a document type, a deviation detecting circuit configured to detect a deviation between a current cognitive state of the user and a past cognitive state of the user during a predetermined amount of time for the document type; and a recommending circuit configured to recommend that the user stop viewing the document for a predetermined amount of time based on the deviation being greater than a predetermined threshold value.

A pill identification system identifies a pill type for a pharmaceutical composition from images of the pharmaceutical composition. The system extracts features from images taken of the pill. The features extracted from the pill image include color, size, shape, and surface features of the pill. In particular, the features include rotation-independent surface features of the pill that enable the pill to be identified from a variety of orientations when the images are taken. The feature vectors are applied to a classifier that determines a pill identification for each image. The pill identification for each image is scored to determine identification for the pharmaceutical composition.