title: The Whole World in Your Hand: Active and Interactive Segmentation
creator: Arsenio, Artur
creator: Fitzpatrick, Paul
creator: Kemp, Charles C.
creator: Metta, Giorgio
subject: Machine Vision
subject: Artificial Intelligence
subject: Robotics
description: 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).
publisher: Lund University Cognitive Studies
contributor: Prince, Christopher G.
contributor: Berthouze, Luc
contributor: Kozima, Hideki
contributor: Bullock, Daniel
contributor: Stojanov, Georgi
contributor: Balkenius, Christian
date: 2003
type: Conference Paper
type: PeerReviewed
format: application/pdf
identifier: http://cogprints.org/3329/1/Arsenio.pdf
identifier:   Arsenio, Artur and Fitzpatrick, Paul and Kemp, Charles C. and Metta, Giorgio  (2003) The Whole World in Your Hand: Active and Interactive Segmentation.  [Conference Paper]     
relation: http://cogprints.org/3329/