23 search results - page 2 / 5 » Learning function-based object classification from 3D imager... |
CVPR
2009
IEEE
14 years 12 months ago
2009
IEEE
We propose a novel probabilistic framework for learning
visual models of 3D object categories by combining appearance
information and geometric constraints. Objects are
represen...
IJCV
2000
13 years 4 months ago
2000
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
IJRR
2010
13 years 2 months ago
2010
Over the last years, object detection has become a more and more active field of research in robotics. An important problem in object detection is the need for sufficient labeled ...
CVPR
2005
IEEE
14 years 6 months ago
2005
IEEE
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov Random Fields (MRFs) which support ef...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
Object detection and recognition has achieved a significant progress in recent years. However robust 3D object detection and segmentation in noisy 3D data volumes remains a challen...