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|Title:||Spatio-temporal depth recovery of dynamic scenes with multiple handheld cameras|
Spatio-temporal depth recovery
|Source:||Jiang, H.,Zhang, G.,Tan, P.,Bao, H. (2013-02). Spatio-temporal depth recovery of dynamic scenes with multiple handheld cameras. Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics 25 (2) : 137-145. ScholarBank@NUS Repository.|
|Abstract:||Most previous dynamic depth recovery methods require many synchronous cameras to achieve good depth estimation, which is inflexible in practice. In this paper, a novel dynamic dense depth recovery method is proposed to automatically recover high-quality dense depth information from the synchronized videos taken by two or three handheld cameras. Initial depth maps are computed by matching the synchronized frames in the same time instance. Then a novel bilayer segmentation method for freely moving cameras is employed to classify the pixels of each frame into static and dynamic ones, so that their depths can be more effectively optimized with different spatio-temporal coherence constraints. Especially, an iterative optimization framework based on multiple frames is proposed, which iteratively performs depth optimization and bilayer segmentation to finally achieve a set of temporally consistent segmentation and depth maps. A variety of dynamic scene examples demonstrate the effectiveness and robustness of the proposed method.|
|Source Title:||Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics|
|Appears in Collections:||Staff Publications|
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