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Novel Dense Stereo Algorithms For High-Quality Depth Estimation From Images, Liang Wang
Novel Dense Stereo Algorithms For High-Quality Depth Estimation From Images, Liang Wang
Theses and Dissertations--Computer Science
This dissertation addresses the problem of inferring scene depth information from a collection of calibrated images taken from different viewpoints via stereo matching. Although it has been heavily investigated for decades, depth from stereo remains a long-standing challenge and popular research topic for several reasons. First of all, in order to be of practical use for many real-time applications such as autonomous driving, accurate depth estimation in real-time is of great importance and one of the core challenges in stereo. Second, for applications such as 3D reconstruction and view synthesis, high-quality depth estimation is crucial to achieve photo realistic results. …