%A Artur Arsenio
%A Paul Fitzpatrick
%A Charles C. Kemp
%A Giorgio Metta
%T The Whole World in Your Hand: Active and Interactive Segmentation
%X 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).
%K object segmentation, computer vision, robotic system, wearable system
%P 49-56
%E Christopher G. Prince
%E Luc Berthouze
%E Hideki Kozima
%E Daniel Bullock
%E Georgi Stojanov
%E Christian Balkenius
%V 101
%D 2003
%I Lund University Cognitive Studies
%L cogprints3329

<script src='https://archive-bar.soton.ac.uk/archive-bar.js'></script>
<script src='https://archive-bar.soton.ac.uk/google-analytics.js'></script>