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» Evolving Measurement Regions for Depth from Defocus
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CVPR
2008
IEEE
14 years 4 days ago
Recovery of relative depth from a single observation using an uncalibrated (real-aperture) camera
In this paper we investigate the challenging problem of recovering the depth layers in a scene from a single defocused observation. The problem is definitely solvable if there are...
Vinay P. Namboodiri, Subhasis Chaudhuri
ICIP
2009
IEEE
13 years 8 months ago
Single image defocus map estimation using local contrast prior
Image defocus estimation is useful for several applications including deblurring, blur magnification, measuring image quality, and depth of field segmentation. In this paper, we p...
Yu-Wing Tai, Michael S. Brown
ECCV
2004
Springer
15 years 7 days ago
Scene and Motion Reconstruction from Defocused and Motion-Blurred Images via Anisotropic Diffusion
We propose a solution to the problem of inferring the depth map, radiance and motion of a scene from a collection of motion-blurred and defocused images. We model motion-blur and d...
Paolo Favaro, Martin Burger, Stefano Soatto
ICIP
2007
IEEE
15 years 1 days ago
Region-Based Dense Depth Extraction from Multi-View Video
A novel multi-view region-based dense depth map estimation problem is presented, based on a modified planesweeping strategy. In this approach, the whole scene is assumed to be reg...
Cevahir Cigla, Xenophon Zabulis, A. Aydin Alatan
IJCAI
2007
13 years 11 months ago
Depth Estimation Using Monocular and Stereo Cues
Depth estimation in computer vision and robotics is most commonly done via stereo vision (stereopsis), in which images from two cameras are used to triangulate and estimate distan...
Ashutosh Saxena, Jamie Schulte, Andrew Y. Ng