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Associating groups of people across non-overlapping camera views is an important but unsolved problem. Compared with the similar person re-identification task, group re-identification introduces some new challenges, such as significant deformation in uncontrolled directions, great intra-group occlusions and so on. In this paper, we propose a novel patch matching based framework for group re-identification...
Perspective-three-line (P3L) problem when three lines are coplanar and placed as Z-shaped is studied for camera pose determination from a single perspective view and 2-D to 3-D line correspondences. We find the problem's solution number depends on the location of optical center of the camera. If the optical center locates inside two conical cones or on a special plane, the problem has a unique solution,...
An integrated framework mainly focusing on stereo matching has been presented in this paper to obtain dense depth maps for a mobile robot that is equipped with a novel omnidirectional stereo vision sensor that is designed to obtain height information. The vision sensor is composed of a common perspective camera and two hyperbolic mirrors, which are separately fixed inside a glass cylinder. As the...
In this paper, the relationship between the camera calibration space and measurement error is analyzed in order to enhance the precision of a model based monocular vision pose estimation system. We proved that the calibration error of camera intrinsic parameters can be reduced when the calibration space is designed in a full field of view no matter how small the imaging range of the measuring area...
Omnidirectional depth recovery in a novel omnidirectional stereo vision system was addressed. The stereo vision based on a common perspective camera coupled with two hyperbolic mirrors. Given two images of a same point acquired the system, the depth is calculated by means of triangulation. The calculation process aims at having corresponding incident rays intersecting at the same 3D point. As the...
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