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» Learning Object Shape: From Drawings to Images
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ICRA
2009
IEEE
145views Robotics» more  ICRA 2009»
14 years 1 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
ICVGIP
2004
13 years 8 months ago
On Learning Shapes from Shades
Shape from Shading (SFS) is one of the most extensively studied problems in Computer Vision. However, most of the approaches only deal with Lambertian or other specific shading mo...
Subhajit Sanyal, Mayank Bansal, Subhashis Banerjee...
GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
13 years 11 months ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
ICCV
2009
IEEE
14 years 11 months ago
Seeing 3D Objects in a Single 2D Image
A general framework simultaneously addressing pose estimation, 2D segmentation, object recognition, and 3D reconstruction from a single image is introduced in this paper. The pr...
Diego Rother, Guillermo Sapiro
MVA
1990
208views Computer Vision» more  MVA 1990»
13 years 8 months ago
3-D Shape Reconstruction from Camera Motion with Inexact Motion Parameters
When a sequence of images are obtained by a moving camera, if the exact camera velocity and corresponding points on the images are determined, the 3-D shape of the object can be r...
Keisuke Kinoshita, Koichiro Deguchi