Shadow detection is critical for robust and reliable vision-based systems for traffic vision analysis. Shadow points are often misclassified as object points causing errors in loc...
Today's category-level object recognition systems largely focus on fronto-parallel views of objects with characteristic texture patterns. To overcome these limitations, we pr...
The problem of Simultaneous Localization And Mapping (SLAM) originally arose from the robotics community and is closely related to the problems of camera motion estimation and stru...
We study the question of feature sets for robust visual object recognition, adopting linear SVM based human detection as a test case. After reviewing existing edge and gradient ba...
Abstract— We incorporate sampling-based global path planning with Visual Servoing (VS) for a robotic arm equipped with an in-hand camera. The path planning accounts for a number ...