110 search results - page 9 / 22 » 3D Probabilistic Feature Point Model for Object Detection an... |
ICPR
2006
IEEE
14 years 9 months ago
2006
IEEE
In this paper, we present a novel method for model estimation for visual servoing. This method employs a particle filter algorithm to estimate the depth of the image features onli...
ICIP
2009
IEEE
14 years 9 months ago
2009
IEEE
The classification of urban landscape in aerial LiDAR point clouds is useful in 3D modeling and object recognition applications in urban environments. In this paper, we introduce ...
IROS
2007
IEEE
14 years 2 months ago
2007
IEEE
— We present a Graph-based method for low-level segmentation of unfiltered 3D data. The core of this approach is based on the construction of a local neighborhood structure and ...
ECCV
2008
Springer
14 years 10 months ago
2008
Springer
We propose an algorithm for semantic segmentation based on 3D point clouds derived from ego-motion. We motivate five simple cues designed to model specific patterns of motion and 3...
ACCV
2006
Springer
14 years 2 months ago
2006
Springer
We view the task of change detection as a problem of object recognition from learning. The object is defined in a 3D space where the time is the 3rd dimension. We propose two com...