Files in this item



application/pdfECE499-Sp2017-jiang.pdf (4MB)
(no description provided)PDF


Title:Stereo matching with temporal consistency using an upright pinhole model
Author(s):Jiang, Yibo
Contributor(s):Do, Ming N.
Subject(s):stereo vision
temporal consistency
Abstract:Stereo vision, as a subfield of computer vision, has been researched for over 20 years. However, most research efforts have been devoted to single-frame estimation. With the rising interest in autonomous vehicles, more attention should be paid to temporal consistency within stereo matching as depth matching in this case will be used in a video context. In this thesis, temporal consistency in stereo vision will be studied in an effort to reduce time or increase accuracy by utilizing a simple upright camera model. The camera model is used for disparity prediction, which also serves as initialization for different stereo matching frameworks such as local methods and belief propagation. In particular, this thesis proposes a new algorithm based on this model and sped-up patchMatch belief propagation (SPM-BF). The results have demonstrated that the proposed method can reduce computation and convergence time.
Issue Date:2017-05
Date Available in IDEALS:2017-08-22

This item appears in the following Collection(s)

Item Statistics