Systems and/or methods for, for a given pixel (or sub-pixel location) in an image acquired by the camera, finding which projector pixel (or more particularly, which projector column) primarily projected the light that was reflected from the object being scanned back to this camera position (e.g. what projector coordinates or projector column coordinate correspond(s) to these camera coordinates).

An advanced driver assist system (ADAS) may obtain a video sequence including a plurality of frames captured at the vehicle, each frame corresponding to a separate stereo image including a first viewpoint image and a second viewpoint image; generate disparity information associated with a stereo image; obtain depth information associated with an object included in the stereo image based on reflected electromagnetic waves captured at the vehicle; calculate correlation information between the depth information and the disparity information based on the stereo image, the depth information and the disparity information; and correct depth values associated with the stereo image based on the disparity information and the correlation information to generate a depth image with respect to the stereo image. The ADAS may detecting the at least one object in the stereo image, based on the depth image, and may generate an output signal based on the detection.

A camera module with a fixed near field focus is configured to capture a single image. That single image is segmented by an image divider a number of regions. A focus metric determiner then determines a focus metric for each of the regions. A depth map generator maps the focus metric into a depth value for each of the regions and combines the depth values to generate a depth map.

An image processing apparatus acquires first shape information representing a three-dimensional shape about an object located within an image capturing region based on one or more images obtained by one or more imaging apparatuses for performing image capturing of the image capturing region from a plurality of directions, acquires second shape information representing a three-dimensional shape about an object located within the image capturing region based on one or more images obtained by one or more imaging apparatuses, acquires viewpoint information indicating a position and direction of a viewpoint, and generates a virtual viewpoint image corresponding to the position and direction of the viewpoint indicated by the acquired viewpoint information based on the acquired first shape information and the acquired second shape information, such that at least a part of the object corresponding to the second shape information is displayed in a translucent way within the virtual viewpoint image.

A method for automatic registration of 3D image data, captured by a 3D image capture system having an RGB camera and a depth camera, includes capturing 2D image data with the RGB camera at a first pose; capturing depth data with the depth camera at the first pose; performing an initial registration of the RGB camera to the depth camera; capturing 2D image data with the RGB camera at a second pose; capturing depth data at the second pose; and calculating an updated registration of the RGB camera to the depth camera.

A method and an apparatus for a terminal, where the method includes obtaining a first video sequence photographed by a first camera and a second video sequence photographed by a second camera, determining, according to a first image in the first video sequence and photographed at a first moment and a second image in the second video sequence and photographed at the first moment, an available first motion vector (V), and a third image and a fourth image corresponding to the V, obtaining a second motion vector (U) of the first image relative to the third image, obtaining a third motion vector (W) of the fourth image relative to the second image, and obtaining a correspondence between a pixel in the first image and a pixel in the second image according to the V, the U, and the W.

A system, method, and apparatus are discussed for a passive optical camera-based system to detect a presence of one or more vehicles with one or more cameras. A detection algorithm is applied to recognize of the presence of the one or more vehicles using one or more imaging processors and the one or more cameras to detect fluctuations in light intensity from scattered light and/or reflections off of that vehicle. Those scattered light and/or reflections are captured in images contained in a set of frames from the one or more cameras.

A three-dimensional information acquisition system using pitching practice, and a method for calculating camera parameters are disclosed. The method by which a server calculates camera parameters in order to obtain three-dimensional information, according to various embodiments of the present invention, can comprise the steps of: receiving, from at least two camera devices, image information of dynamic objects moving at a predetermined speed; confirming location information of each dynamic object, included in the image information, on the basis of the same time in each piece of image information received from each camera device; and calculating camera parameters, which indicate the relationship between the camera devices, by using at least a part of each piece of confirmed location information as a corresponding point.

A tracking-distance-measuring system capable of tracking a torso object is provided. The tracking-distance-measuring system includes: an image sensor, a controller, a distance-measuring device, and an actuator device. The image sensor is configured to capture an input image. The controller is configured to analyze the input image to recognize a torso object from the input image, and calculate an offset distance between a center of the torso object and a central axis of the input image. The actuator device is configured to carry the distance-measuring device. The controller controls the actuator device to calibrate an offset angle between the distance-measuring device and the recognized torso object according to the offset distance. In response to calibrating the offset angle, the distance-measuring device emits energy and receives reflected energy to detect an object distance of the torso object.

A measuring device (233) for monitoring movement of a first object relative to a second object, the first object or the second object including a target surface (13), comprises a first image sensor combination (236), a second image sensor combination (237), and a control system (20A). The image sensor combinations (236, 237) capture first images and second images of the target surface (13) over time. The first image sensor combination (236) includes a first image sensor (236A) and a first lens assembly (236B). The second image sensor combination (237) includes a second image sensor (237A), and a second lens assembly (237B) having a second optical axis (237BX) that is at an angle of between thirty degrees and sixty degrees relative to normal to the target surface (13). The control system (20A) analyzes the first images and the second images to monitor movement of the first object relative to the second object.