SECON
2008
IEEE
14 years 6 months ago
2008
IEEE
—Many sensor networks are deployed for the purpose of covering and monitoring a particular region, and detecting the object of interest in the region. In this paper, based on the...
ICPR
2008
IEEE
14 years 6 months ago
2008
IEEE
Object detection in clutter or occlusion is a hard problem in computer vision. We propose an object detection method based on contour grouping. Two stages are included: a novel di...
IROS
2009
IEEE
14 years 6 months ago
2009
IEEE
Abstract— We consider the problem of robotic object detection of such objects as mugs, cups, and staplers in indoor environments. While object detection has made significant pro...
ICRA
2009
IEEE
14 years 6 months ago
2009
IEEE
— High-resolution 3D scanning can improve the performance of object detection and door opening, two tasks critical to the operation of mobile manipulators in cluttered homes and ...
ICRA
2009
IEEE
14 years 6 months ago
2009
IEEE
Abstract— Robust ego-motion estimation in urban environments is a key prerequisite for making a robot truly autonomous, but is not easily achievable as there are two motions invo...
CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
The integral image is typically used for fast integrating a function over a rectangular region in an image. We propose a method that extends the integral image to do fast integrat...
CVPR
2010
IEEE
14 years 7 months ago
2010
IEEE
We propose an approach to speeding up object detection, with an emphasis on settings where multiple object classes are being detected. Our method uses a segmentation algorithm to ...
CVPR
2010
IEEE
14 years 8 months ago
2010
IEEE
Object localization in an image is usually handled by searching for an optimal subwindow that tightly covers the object of interest. However, the subwindows considered in previous ...
CVPR
2010
IEEE
14 years 8 months ago
2010
IEEE
Many of the recently popular shape based category recognition methods require stable, connected and labeled edges as input. This paper introduces a novel method to find the most st...