A Vision-Based Method to Find Fingertips in a Closed Hand

Ankit Chaudhary; Kapil Vatwani; Tushar Agrawal; Jagdish Lal Raheja

doi:10.3745/JIPS.2012.8.3.399

A Vision-Based Method to Find Fingertips in a Closed Hand

Ankit Chaudhary, Kapil Vatwani, Tushar Agrawal, Jagdish Lal Raheja

University of Missouri-St. Louis

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Journal of Information Processing Systems
Volume	8
DOIs	https://doi.org/10.3745/JIPS.2012.8.3.399
State	Published - Sep 30 2012

Disciplines

Computer Sciences
Artificial Intelligence and Robotics

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title = "A Vision-Based Method to Find Fingertips in a Closed Hand",

author = "Ankit Chaudhary and Kapil Vatwani and Tushar Agrawal and Raheja, {Jagdish Lal}",

note = "A Vision-Based Method to Find Fingertips in a Closed Hand Hand Shape Parameters;Fingertips Detection;Skin Filter;Natural Computing;Corner Detection; Hand gesture recognition is an important area of research in the field of Human Computer Interaction (HCI). The geometric attributes of the hand play an important role in hand shape reconstruction and gesture recognition.",

year = "2012",

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AU - Chaudhary, Ankit

AU - Vatwani, Kapil

AU - Agrawal, Tushar

AU - Raheja, Jagdish Lal

N1 - A Vision-Based Method to Find Fingertips in a Closed Hand Hand Shape Parameters;Fingertips Detection;Skin Filter;Natural Computing;Corner Detection; Hand gesture recognition is an important area of research in the field of Human Computer Interaction (HCI). The geometric attributes of the hand play an important role in hand shape reconstruction and gesture recognition.

PY - 2012/9/30

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M3 - Article

VL - 8

JO - Journal of Information Processing Systems

JF - Journal of Information Processing Systems

ER -

A Vision-Based Method to Find Fingertips in a Closed Hand

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