| The whole world in your hand: Active and interactive segmentation (2003) | |||||||||||||||
Abstract | |||||||||||||||
| This paper presents three approaches to object segmentation, a fundamental problem in computer vision. Each approach is aided by the presence of a hand or arm in the proximity of the object to be segmented. The first approach is suitable for a robotic system, where the robot can use its arm to evoke object motion. The second method operates on a wearable system, viewing the world from a human’s perspective, with instrumentation to help detect and segment objects that are held in the wearer’s hand. The third method operates when observing a human teacher, locating periodic motion (finger/arm/object waving or tapping) and using it as a seed for segmentation. We believe that object segmentation is a key resource for development, and demonstrate that once high-quality object segmentation is available, it is possible to train up both high-level visual modules (object recognition and localization) and to enhance lowlevel vision. 1. | |||||||||||||||
Publication details | |||||||||||||||
| |||||||||||||||