Sciweavers

202 search results - page 12 / 41
» Autonomous Shape Model Learning for Object Localization and ...
Sort
View
146
Voted
AIA
2006
15 years 4 months ago
Recurrent and Concurrent Neural Networks for Objects Recognition
A system based on a neural network framework is considered. We used two neural networks, an Elman network [1][2] and a Kohonen (concurrent) network [3], for a categorization task....
Federico Cecconi, Marco Campenní
149
Voted
CLOR
2006
15 years 6 months ago
A Sparse Object Category Model for Efficient Learning and Complete Recognition
We present a "parts and structure" model for object category recognition that can be learnt efficiently and in a weakly-supervised manner: the model is learnt from examp...
Robert Fergus, Pietro Perona, Andrew Zisserman
144
Voted
SSIAI
2002
IEEE
15 years 7 months ago
Geometry-Based Automatic Object Localization and 3-D Pose Detection
Given the image of a real-world scene and a polygonal 3-D model of a depicted object, its apparent size, image coordinates, and 3-D orientation are autonomously detected. Based on...
Marcus A. Magnor
140
Voted
3DIM
1999
IEEE
15 years 7 months ago
Large Data Sets and Confusing Scenes in 3-D Surface Matching and Recognition
In this paper, we report on recent extensions to a surface matching algorithm based on local 3-D signatures. This algorithm was previously shown to be effective in view registrati...
Owen T. Carmichael, Daniel F. Huber, Martial Heber...
95
Voted
IROS
2009
IEEE
120views Robotics» more  IROS 2009»
15 years 9 months ago
Interactive learning of visually symmetric objects
— This paper describes a robotic system that learns visual models of symmetric objects autonomously. Our robot learns by physically interacting with an object using its end effec...
Wai Ho Li, Lindsay Kleeman