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» Bayesian structure from motion using inertial information
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NIPS
2000
14 years 11 months ago
Feature Correspondence: A Markov Chain Monte Carlo Approach
When trying to recover 3D structure from a set of images, the most di cult problem is establishing the correspondence between the measurements. Most existing approaches assume tha...
Frank Dellaert, Steven M. Seitz, Sebastian Thrun, ...
ICCV
2003
IEEE
15 years 11 months ago
On Exploiting Occlusions in Multiple-view Geometry
Occlusions are commonplace in man-made and natural environments; they often result in photometric features where a line terminates at an occluding boundary, resembling a "T&q...
Paolo Favaro, Alessandro Duci, Yi Ma, Stefano Soat...
AMDO
2006
Springer
15 years 1 months ago
Predicting 3D People from 2D Pictures
Abstract. We propose a hierarchical process for inferring the 3D pose of a person from monocular images. First we infer a learned view-based 2D body model from a single image using...
Leonid Sigal, Michael J. Black
CVPR
2007
IEEE
15 years 11 months ago
3D Occlusion Inference from Silhouette Cues
We consider the problem of detecting and accounting for the presence of occluders in a 3D scene based on silhouette cues in video streams obtained from multiple, calibrated views....
Jean-Sébastien Franco, Li Guan, Marc Pollef...
AROBOTS
1999
140views more  AROBOTS 1999»
14 years 9 months ago
A Robust Analog VLSI Motion Sensor Based on the Visual System of the Fly
Sensing visual motion gives a creature valuable information about its interactions with the environment. Flies in particular use visual motion information to navigate through turbu...
Reid R. Harrison, Christof Koch