Accession Number:

ADA434702

Title:

The Whole World in Your Hand: Active and Interactive Segmentation

Descriptive Note:

Corporate Author:

MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB

Report Date:

2003-01-01

Pagination or Media Count:

8.0

Abstract:

Object segmentation is a fundamental problem in computer vision and a powerful resource for development. This paper presents three embodied approaches to the visual segmentation of objects. Each approach to segmentation 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 humans perspective, with instrumentation to help detect and segment objects that are held in the wearers hand. The third method operates when observing a human teacher, locating periodic motion fingerarmobject waving or tapping and using it as a seed for segmentation. We show that object segmentation can serve as a key resource for development by demonstrating methods that exploit high-quality object segmentations to develop both low-level vision capabilities specialized feature detectors and high-level vision capabilities object recognition and localization.

Subject Categories:

  • Cybernetics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE