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» Compression of the Layered Depth Image
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JMLR
2010
202views more  JMLR 2010»
13 years 2 months ago
Learning the Structure of Deep Sparse Graphical Models
Deep belief networks are a powerful way to model complex probability distributions. However, it is difficult to learn the structure of a belief network, particularly one with hidd...
Ryan Prescott Adams, Hanna M. Wallach, Zoubin Ghah...
SIGGRAPH
1999
ACM
13 years 12 months ago
LDI Tree: A Hierarchical Representation for Image-Based Rendering
Using multiple reference images in 3D image warping has been a challenging problem. Recently, the Layered Depth Image (LDI) was proposed by Shade et al. to merge multiple referenc...
Chun-Fa Chang, Gary Bishop, Anselmo Lastra
ECCV
2008
Springer
14 years 9 months ago
Analysis of Building Textures for Reconstructing Partially Occluded Facades
Abstract. As part of an architectural modeling project, this paper investigates the problem of understanding and manipulating images of buildings. Our primary motivation is to auto...
Thommen Korah, Christopher Rasmussen
ICIP
2002
IEEE
14 years 9 months ago
Efficient and universal scalable video coding
This paper proposes a unified efficient and universal scalable video coding framework that supports different scalabilities, such as fine granularity quality, temporal, spatial an...
Feng Wu, Shipeng Li, Rong Yan, Xiaoyan Sun, Ya-Qin...
AVSS
2005
IEEE
14 years 1 months ago
Object tracking and matting for a class of dynamic image-based representations
Image-based rendering (IBR) is an emerging technology for photo-realistic rendering of scenes from a collection of densely sampled images and videos. Recently, an object-based app...
Zhi-Feng Gan, Shing-Chow Chan, Heung-Yeung Shum