Title
Depth Super-resolution by Fusing Depth Imaging and Stereo Vision with Structural Determinant Information Inference
Abstract
In this paper, we present a depth super-resolution framework by fusing depth imaging and stereo vision for high-resolution and high-accuracy depth maps. Depth cameras and stereo vision have their own limitations in some aspects, but their characteristics of range sensing are complementary. Thus, combining both approaches can produce more satisfactory results than either one. Unlike previous fusion methods, we initially taking the noisy depth observation from depth camera as prior information of scene structure. The prior information of scene structure is also utilized to infer structural determinant information, like depth discontinuity and occlusion, which is essential to improve the quality of depth map in the fusion process. In succession, the prior knowledge helps to overcome difficulties of intensity inconsistency in image observation from stereo vision component. Experimental results demonstrate effectiveness and accuracy of the proposed method.
Year
DOI
Venue
2014
10.1109/ICPR.2014.722
ICPR
Keywords
DocType
ISSN
image observation,depth imaging,structural determinant information inference,fusion,stereo vision component,image fusion,depth camera,image resolution,structural determinant information,stereo vision, depth imaging, depth camera, fusion, occlusion, discontinuity,depth discontinuity,noisy depth observation,stereo image processing,depth super-resolution framework,stereo vision,occlusion,discontinuity
Conference
1051-4651
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Yucheng Wang1112.23
Huijun Di200.34
Bingjie Wang352.42
Wei Liang4365.00
Jian Zhang51305100.05
Yunde Jia695884.33