TITLE:
Regular Stereo Matching Improvement System Based on Kinect-supporting Mechanism
AUTHORS:
Din-Yuen Chan, Che-Han Hsu
KEYWORDS:
Stereo Matching; Image Registration; Kinect; IR-Projector Image
JOURNAL NAME:
Open Journal of Applied Sciences,
Vol.3 No.1B,
January
22,
2013
ABSTRACT: In this paper, we built a stereoscopic video associated experimental model, which is referenced as Kinect-supporting improved stereo matching scheme. As the depth maps offered by the Kinect IR-projector are resolution-inadequate, noisy, distance-limited, unstable, and material-sensitive, the appropriated de-noising, stabilization and filtering are first performed for retrieving useful IR-projector depths. The disparities are linearly computed from the refined IR-projector depths to provide specifically referable disparity resources. By exploiting these resources with sufficiency, the proposed mechanism can lead to great enhancement on both speed and accuracy of stereo matching processing to offer better extra virtual view generation and the possibility of price-popularized IR-projector embedded stereoscopic camera.