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» Learning to Estimate Scenes from Images
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TIFS
2010
149views more  TIFS 2010»
13 years 2 months ago
Detecting Forgery From Static-Scene Video Based on Inconsistency in Noise Level Functions
Recently developed video editing techniques have enabled us to create realistic synthesized videos. Therefore, using video data as evidence in places such as courts of law requires...
Michihiro Kobayashi, Takahiro Okabe, Yoichi Sato
PAMI
2008
243views more  PAMI 2008»
13 years 7 months ago
Shape from Defocus via Diffusion
Defocus can be modeled as a diffusion process and represented mathematically using the heat equation, where image blur corresponds to the diffusion of heat. This analogy can be ext...
Paolo Favaro, Stefano Soatto, Martin Burger, Stanl...
CVPR
2011
IEEE
13 years 3 months ago
From 3D Scene Geometry to Human Workspace
We present a human-centric paradigm for scene understanding. Our approach goes beyond estimating 3D scene geometry and predicts the “workspace” of a human which is represented...
Abhinav Gupta, Scott Satkin, Alyosha Efros, Martia...
EMMCVPR
2009
Springer
14 years 2 months ago
Detection and Segmentation of Independently Moving Objects from Dense Scene Flow
We present an approach for identifying and segmenting independently moving objects from dense scene flow information, using a moving stereo camera system. The detection and segmen...
Andreas Wedel, Annemarie Meißner, Clemens Ra...
CVPR
2011
IEEE
13 years 3 months ago
Structure from motion for scenes with large duplicate structures
Most existing structure from motion (SFM) approaches for unordered images cannot handle multiple instances of the same structure in the scene. When image pairs containing differen...
Richard Roberts, Sudipta Sinha, Richard Szeliski, ...