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CVPR
2011
IEEE
1473views Computer Vision» more  CVPR 2011»
14 years 8 months ago
Object Recognition with Hierarchical Kernel Descriptors
Kernel descriptors provide a unified way to generate rich visual feature sets by turning pixel attributes into patch-level features, and yield impressive results on many object rec...
Liefeng Bo, Kevin Lai, Xiaofeng Ren and Dieter Fox
148
Voted
CVPR
2011
IEEE
14 years 8 months ago
Global Stereo Matching Leveraged by Sparse Ground Control Points
We present a novel global stereo model that makes use of constraints from points with known depths, i.e., the Ground Control Points (GCPs) as referred to in stereo literature. Our...
Liang Wang, Ruigang Yang
116
Voted
JMLR
2010
144views more  JMLR 2010»
14 years 7 months ago
Maximum Margin Learning with Incomplete Data: Learning Networks instead of Tables
In this paper we address the problem of predicting when the available data is incomplete. We show that changing the generally accepted table-wise view of the sample items into a g...
Sándor Szedmák, Yizhao Ni, Steve R. ...
CVPR
2012
IEEE
13 years 3 months ago
Consistent depth maps recovery from a trinocular video sequence
In this paper, we propose a novel dense depth recovery method for a trinocular video sequence. Specifically, we contribute a novel trinocular stereo matching model, which can eff...
Wenzhuo Yang, Guofeng Zhang, Hujun Bao, Jiwon Kim,...
136
Voted
CVPR
2009
IEEE
16 years 7 months ago
Spatiotemporal Stereo via Spatiotemporal Quadric Element (Stequel) Matching
Spatiotemporal stereo is concerned with recovery of the 3D structure of a dynamically changing scene from a sequence of stereo images. This paper aims at computing temporally coh...
Mikhail Sizintsev, Richard P. Wildes