Huiping Deng

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Nick Rutter, Richard Essery, John Pomeroy, Nuria Altimir, Kostas Andreadis, Ian Baker, Alan Barr, Paul Bartlett, Aaron Boone, Huiping Deng, Hervé Douville, Emanuel Dutra, Kelly Elder, Chad Ellis, Xia Feng, Alexander Gelfan, Angus Goodbody, Yeugeniy Gusev, David Gustafsson, Rob Hellström, Yukiko Hirabayashi, Tomoyoshi Hirota, Tobias Jonas, Victor Koren, Anna(More)
Depth edge preservation is important for improving synthesized view quality in depth map coding. A joint texture/depth edge-directed up-sampling algorithm for depth map coding is proposed in this paper. The depth up-sampling algorithm takes into account the edge similarity between depth map and corresponding texture image, and structural similarity between(More)
View synthesis technology generates virtual views for display and high quality virtual view is of significantimportance to free-viewpoint TV (FTV) and three dimensional video(3DV). This paper proposes a novel virtual view synthesis method in multi-view system based on multi-view plus depth. Firstly, we project two reference depth maps to the intermediate(More)
An efficient down/upsampling method to compress a depth map efficiently within the high-efficiency video coding (HEVC) framework is presented. A different edge-preserving depth upsampling method is proposed by using both the texture and depth information. We take into account the edge similarity between depth maps and their corresponding texture images as(More)
The depth image has greatly broadened various applications of computer vision, however, it is seldom explored in the field of salient object detection. In this paper, we propose a learning-based approach for extracting saliency from RGB-D images. For best fitting the contrast-based stimulus that guides the saliency search in human vision system, massive(More)