Hand detection by direct convexity estimation

Dganit Maimon*, Yehezkel Yeshurun

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

Abstract

We suggest a novel attentional mechanism for detection of smooth convex and concave objects based on direct processing of intensity values. The operator detects the region of the forearm in images, enabling location of the hand. The operator is robust to variation in illumination, scale, pose, and hand orientation. This method uses the geometrical structure of the forearm, which is common to all people; therefore no limitation of the hand pose and no personal adjustments are required.

Original languageEnglish
Pages (from-to)105-113
Number of pages9
JournalLecture Notes in Computer Science
Volume3161
DOIs
StatePublished - 2005
Event1st Summer School on Biometrics - Advanced Studies in Biometrics - Alghero, Italy
Duration: 2 Jun 20036 Jun 2003

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