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ICCV
2009
IEEE
16 years 11 months ago
Moving in Stereo: Efficient Structure and Motion Using Lines
We present a fast and robust system for estimating structure and motion using a stereo pair, with straight lines as features. Our first set of contributions are efficient algorit...
Manmohan Chandraker, Jongwoo Lim, David Kriegman
CVPR
2000
IEEE
16 years 8 months ago
Fluid Structure and Motion Analysis from Multi-spectrum 2D Cloud Image Sequences
In this paper we present a novel approach to estimate and analyze 3D uid structure and motion of clouds from multi-spectrum 2D cloud image sequences. Accurate cloud-top structure ...
Lin Zhou, Chandra Kambhamettu, Dmitry B. Goldgof
CVPR
2008
IEEE
16 years 8 months ago
Learning for stereo vision using the structured support vector machine
We present a random field based model for stereo vision with explicit occlusion labeling in a probabilistic framework. The model employs non-parametric cost functions that can be ...
Yunpeng Li, Daniel P. Huttenlocher
ICCV
1998
IEEE
16 years 8 months ago
Modeling Geometric Structure and Illumination Variation of a Scene from Real Images
We present in this paper a system which automatically builds, from real images, a scene model containing both 3D geometric information of the scene structure and its photometric...
Zhengyou Zhang
ICIP
2006
IEEE
16 years 8 months ago
Robust Bundle Adjustment for Structure from Motion
Structure from motion (SFM) is the problem of reconstructing the geometry of a scene from a stream of images. In this problem, the geometry of the scene must be inferred from imag...
Ji Zhang, Mireille Boutin, Daniel G. Aliaga