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The Whole World in Your Hand: Active and Interactive Segmentation (1998)

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 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 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).. Prepared in cooperation with University of Genova, Genova, Italy. The original document contains color images.

Publication details
Download http://handle.dtic.mil/100.2/ADA434702
Contributors MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB
Repository Defense Technical Information Center OAI-PMH Repository (United States)
Keywords CYBERNETICS, *HUMANS, *ROBOTS, COGNITION, MOTION, RECOGNITION, ARTIFICIAL INTELLIGENCE, COMPUTER VISION, VISUAL PERCEPTION, HAND HELD, SEGMENTED, PERIODIC VARIATIONS., *OBJECT SEGMENTATION, *EMBODIED VISION, *WEARABLE COMPUTING SYSTEMS
Language eng