Stereo Reconstruction through Disparity Space
نویسندگان
چکیده
This paper is concerned with surface reconstruction from stereo image data. We do not explicitly match left and right image points, but use a new formulation of Disparity Space geometry to recover the object surface in terms of very dense Intensity and Disparity maps. We introduce Disparity Space, and develop an approach using multiple matching primitives to form Local cost functionsfor which a Global solution is achieved using Dynamic Programming. Disparity resolution is controlled by scale factors, and the algorithm can be implemented in parallel. Experimental results with close range and underwater images are reported.
منابع مشابه
Optimizing Disparity Candidates Space in Dense Stereo Matching
In this paper, a new approach for optimizing disparity candidates space is proposed for the solution of dense stereo matching problem. The main objectives of this approachare the reduction of average number of disparity candidates per pixel with low computational cost and high assurance of retaining the correct answer. These can be realized due to the effective use of multiple radial windows, i...
متن کاملPlanning of a multiple sensor system for human activities space – aspects of iso-disparity surface
The Intelligent Vision Agent System, IVAS, is a system for automatic target detection, identification and information processing for use in human activities surveillance. This system consists of multiple sensors, and with control of their deployment and autonomous servo. Finding the optimal configuration for these sensors in order to capture the target objects and their environment to a require...
متن کامل3D reconstruction from stereo images for interactions between real and virtual objects
The 3D reconstruction algorithm in a stereo image pair for realizing mutual occlusion and interactions between the real and virtual world in an image synthesis is proposed. A two-stage algorithm, consisting of disparity estimation and regularization is used to locate a smooth and precise disparity vector. The hierarchical disparity estimation technique increases the efficiency and reliability o...
متن کاملRefinement using O Scene Reconstruction
An occurrence of occlusion is the challenge problem in stereo matching. In this paper, we propose a refinement algorithm of disparity maps with occlusion handling. In order to refine the disparity map, we obtain an initial disparity map with an optimization algorithm based on the modified constant-space belief propagation low complexity. An occlusion map is computed using unique constraint from...
متن کاملDepth Estimation Through a Disparity-Based Photometric Stereo
Abstract. Here we revisit a recently introduced process of relative depth estimation through the matching of photometric stereo images. By considering the general solution of the differential equation which relates surface depth to the disparity map produced by the matching process, we are able to obtain a more consistent formulation of such disparity-based approach to photometric stereo. Also,...
متن کامل