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» Object shape and reflectance modeling from observation
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EMNLP
2008
15 years 2 months ago
Modeling Annotators: A Generative Approach to Learning from Annotator Rationales
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...
Omar Zaidan, Jason Eisner
ICRA
2006
IEEE
146views Robotics» more  ICRA 2006»
15 years 6 months ago
Towards 3D Motion Estimation from Deformable Surfaces
— Estimating the pose of an imaging sensor is a central research problem. Many solutions have been proposed for the case of a rigid environment. In contrast, we tackle the case o...
Adrien Bartoli
CVPR
2000
IEEE
16 years 2 months ago
Towards Automatic Discovery of Object Categories
We propose a method to learn heterogeneous models of object classes for visual recognition. The training images contain a preponderance of clutter and learning is unsupervised. Ou...
Markus Weber, Max Welling, Pietro Perona
DSSCV
2005
Springer
15 years 6 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...
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ICRA
2002
IEEE
104views Robotics» more  ICRA 2002»
15 years 5 months ago
Robotic Acquisition of Deformable Models
We describe techniques for automatically acquiring observations of a deforming object and for estimating a model of the deformation from these observations. A robotic system was d...
Jochen Lang, Dinesh K. Pai, Robert J. Woodham