A novel disparity computation technique is presented which comprises multiple orthogonal disparity maps, generated from approximately orthogonal decomposition feature spaces, collaboratively generating a composite disparity map. Using an approximately orthogonal feature set extracted from such feature spaces produces an approximately orthogonal set of disparity maps that can be composited together to produce a final disparity map. Various methods for dimensioning scenes and are presented. One approach extracts the top and bottom vertices of a cuboid, along with the set of lines, whose intersections define such points. It then defines a unique box from these two intersections as well as the associated lines. Orthographic projection is then attempted, to recenter the box perspective. This is followed by the extraction of the three-dimensional information that is associated with the box, and finally, the dimensions of the box are computed. The same concepts can apply to hallways, rooms, and any other object.

Methods, systems, and computer-program products used for assessing athletic ability and generating performance data. In one embodiment, athlete performance data is generated through computer-vision analysis of video of an athletic performing, e.g., during practice or gameplay. The generated performance data for the athlete may include, for example, maximum speed, maximum acceleration, time to maximum speed, transition time (e.g., time to change direction), closing speed (e.g., time to close the distance to another athlete), average separation (e.g., between the athlete and another athlete), play-making ability, athleticism (e.g., a weighted computation and/or combination of multiple metrics), and/or other performance data. This performance data may be used to generate and/or update a profile associated with the athlete, which can be utilized for recruiting, scouting, comparing, and/or assessing athletes with greater efficiency and precision.

A method for analyzing a biochip image is provided, including: (S1) acquiring and preprocessing the biochip image to obtain a preprocessed image; (S2) performing a correction for angle deflection on the preprocessed image to obtain a deflection-corrected image; and (S3) performing an enhancement processing on the deflection-corrected image, and identifying a positive or negative of an area of interest in the preprocessed image according to an image on which the enhancement processing has been performed. An apparatus (100) for analyzing a biochip image, a method for analyzing an image, a computer device (200) and a storage medium are disclosed.

A visual inspection device and apparatus is disclosed for inspecting fiber ends of a connector by capturing an image of the connector end face, and implementing an image analysis tool for detecting contamination from the captured image. The visual inspection tool includes components for providing a larger field of view to capture the entire connector end face in a single image, and the image analysis tool is able to accurately and efficiently detect contamination from the captured image.

The present invention provides a method for the analysis of a tribofilm, said process comprising: a. obtaining an image of the tribofilm using a digital imaging device b. coding each pixel in the image according to the RGB colour of said pixel; c. assigning a tribofilm thickness to each pixel on the basis of the RGB colour of said pixel to produce a tribofilm thickness data point for each pixel; d. excluding all data points for parts of the image where the thickness of the tribofilm is zero or near-zero; and e. analysing the resultant individual tribofilm thickness data points.

A camera mounted on a seafaring vessel obtains an image showing an object. The distance to the object is computed using, in part, a normal vector of the plane containing the camera and the horizon.

A method for determining wire regions of a circuit includes steps of: obtaining an original image containing multiple stick regions; processing the original image to obtain a first processed image containing multiple line segments; grouping the line segments into multiple groups corresponding respectively to the stick regions; generating a second processed image including multiple complete lines corresponding respectively to the groups; and generating a third processed image including multiple extended lines by extending the complete lines; and determining, for each of the extended lines in the third processed image, a rectangular region based on a stick region in the original image corresponding thereto.

A method of automated measurement of motility and morphology parameters of the same single motile sperm. Automated motility and morphology measurements of the same single sperm are performed under different microscope magnifications. The same single motile sperm is automatically positioned and kept inside microscope field of view and in focus after magnification switch. A method of automated non-invasive measurement of sperm morphology parameters under high magnification of imaging. Sperm morphology parameters including subcellular structures are automatically measured without invasive sample staining. A method of automatically selecting sperms with normal motility and morphology and DNA integrity for infertility treatment.

A control unit of a processing apparatus detects a linear region corresponding to a first planned dividing line from an intersection region of the first planned dividing line and a second planned dividing line, obtains an angle between the linear region and an X-axis direction, and positions the linear region corresponding to the first planned dividing line in the X-axis direction. A linear region corresponding to a next first planned dividing line is detected and an interval between the first planned dividing lines is set. A second planned dividing line interval setting section detects two linear regions corresponding to second planned dividing lines, the linear regions being adjacent to each other, and an interval is set between the second planned dividing lines. A device image enclosed by a pair of first planned dividing lines and a pair of second planned dividing lines is generated and stored.

An object detection device includes a processor. The processor is configured to apply a Hough transform to coordinate points on a UD map to detect a straight line having a predetermined length, and detect a target disparity corresponding to the detected straight line having the predetermined length as a disparity corresponding to an object parallel to a direction of travel of a stereo camera. In the UD map, a target disparity satisfying a predetermined condition among disparities acquired from a captured image is associated with coordinate points, each of the coordinate points having two-dimensional coordinates formed by a first direction and a direction corresponding to a magnitude of a disparity. The processor is configured to convert, in the Hough transform, a straight line passing through coordinate points associated with the target disparity and a predetermined range based on a vanishing point into a Hough space.