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» Learning Object Shape: From Drawings to Images
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CRV
2011
IEEE
305views Robotics» more  CRV 2011»
13 years 9 months ago
Motion Segmentation by Learning Homography Matrices from Motor Signals
—Motion information is an important cue for a robot to separate foreground moving objects from the static background world. Based on the observation that the motion of the backgr...
Changhai Xu, Jingen Liu, Benjamin Kuipers
CVPR
2009
IEEE
16 years 5 months ago
Learning Rotational Features for Filament Detection
State-of-the-art approaches for detecting filament-like structures in noisy images rely on filters optimized for signals of a particular shape, such as an ideal edge or ridge. W...
François Fleuret, Germán Gonzá...
ICCV
2009
IEEE
14 years 7 months ago
Dense 3D reconstruction method using a single pattern for fast moving object
Dense 3D reconstruction of extremely fast moving objects could contribute to various applications such as body structure analysis and accident avoidance and so on. The actual case...
Ryusuke Sagawa, Yuichi Ota, Yasushi Yagi, Ryo Furu...
3DIM
2007
IEEE
15 years 4 months ago
Silhouette Extraction with Random Pattern Backgrounds for the Volume Intersection Method
In this paper, we present a novel approach for extracting silhouettes by using a particular pattern that we call the random pattern. The volume intersection method reconstructs th...
Masahiro Toyoura, Masaaki Iiyama, Koh Kakusho, Mic...
DSSCV
2005
Springer
15 years 3 months ago
Deep Structure of Images in Populations Via Geometric Models in Populations
We face the question of how to produce a scale space of image intensities relative to a scale space of objects or other characteristic image regions filling up the image space, whe...
Stephen M. Pizer, Ja-Yeon Jeong, Robert E. Broadhu...