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» Seeing 3D Objects in a Single 2D Image
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ECCV
2010
Springer
15 years 2 days ago
Depth-Encoded Hough Voting for joint object detection and shape recovery
Detecting objects, estimating their pose and recovering 3D shape information is a critical problem in many vision and robotics applications. This paper addresses the above needs by...
79
Voted
ECCV
2006
Springer
15 years 11 months ago
High Accuracy Optical Flow Serves 3-D Pose Tracking: Exploiting Contour and Flow Based Constraints
Tracking the 3-D pose of an object needs correspondences between 2-D features in the image and their 3-D counterparts in the object model. A large variety of such features has been...
Thomas Brox, Bodo Rosenhahn, Daniel Cremers, Hans-...
ICIP
2005
IEEE
15 years 11 months ago
Implicit surface segmentation by minimal paths, applications in 3D medical images
In this paper we introduce a novel edge-based, implicit approach for single object segmentation in 3D images. From a couple of curves, traced by the user on the object to be segme...
Roberto Ardon, Laurent D. Cohen, Anthony J. Yezzi
97
Voted
ICRA
2009
IEEE
145views Robotics» more  ICRA 2009»
15 years 4 months ago
Learning 3-D object orientation from images
— We propose a learning algorithm for estimating the 3-D orientation of objects. Orientation learning is a difficult problem because the space of orientations is non-Euclidean, ...
Ashutosh Saxena, Justin Driemeyer, Andrew Y. Ng
72
Voted
CVPR
2000
IEEE
15 years 11 months ago
Recovering Non-Rigid 3D Shape from Image Streams
This paper addresses the problem of recovering 3D non-rigid shape models from image sequences. For example, given a video recording of a talking person, we would like to estimate ...
Christoph Bregler, Aaron Hertzmann, Henning Bierma...