Markerless 3D hand posture estimation from monocular video by two-level searching

Iek Kuong Pun; I-Chen Lin; Tsung Hsien Tang

doi:10.1109/CADGraphics.2013.34

Markerless 3D hand posture estimation from monocular video by two-level searching

Iek Kuong Pun, I-Chen Lin, Tsung Hsien Tang

Research output: Contribution to conference › Paper › peer-review

Abstract

In this paper, a marker less 3D hand tracking system for monocular RGB video is presented. We propose a novel two-level approach to efficiently grasp the personal characteristics and high varieties of hand postures. Our system first searches the approximate nearest neighbors in a small personalized real-hand image set, and retrieves more details from a large synthetic 3D hand posture database. Temporal consistency property is also utilized for disambiguating and noise reduction. Our prototype system can approximate hand poses including rigid and non-rigid out-of-image-plane rotation, slow and fast gesture changing during rotation. It can also recover from a short-Term missing hand situation in an interactive rate.

Original language	English
Pages	204-211
Number of pages	8
DOIs	https://doi.org/10.1109/CADGraphics.2013.34
State	Published - 1 Jan 2013
Event	13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013 - Hong Kong, China Duration: 16 Nov 2013 → 18 Nov 2013

Conference

Conference	13th International Conference on Computer-Aided Design and Computer Graphics, CAD/Graphics 2013
Country/Territory	China
City	Hong Kong
Period	16/11/13 → 18/11/13

Keywords

3D gesture
advanced interface
hand tracking

Access to Document

10.1109/CADGraphics.2013.34

Cite this

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title = "Markerless 3D hand posture estimation from monocular video by two-level searching",

abstract = "In this paper, a marker less 3D hand tracking system for monocular RGB video is presented. We propose a novel two-level approach to efficiently grasp the personal characteristics and high varieties of hand postures. Our system first searches the approximate nearest neighbors in a small personalized real-hand image set, and retrieves more details from a large synthetic 3D hand posture database. Temporal consistency property is also utilized for disambiguating and noise reduction. Our prototype system can approximate hand poses including rigid and non-rigid out-of-image-plane rotation, slow and fast gesture changing during rotation. It can also recover from a short-Term missing hand situation in an interactive rate.",

keywords = "3D gesture, advanced interface, hand tracking",

author = "Pun, {Iek Kuong} and I-Chen Lin and Tang, {Tsung Hsien}",

year = "2013",

month = jan,

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doi = "10.1109/CADGraphics.2013.34",

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AU - Lin, I-Chen

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N2 - In this paper, a marker less 3D hand tracking system for monocular RGB video is presented. We propose a novel two-level approach to efficiently grasp the personal characteristics and high varieties of hand postures. Our system first searches the approximate nearest neighbors in a small personalized real-hand image set, and retrieves more details from a large synthetic 3D hand posture database. Temporal consistency property is also utilized for disambiguating and noise reduction. Our prototype system can approximate hand poses including rigid and non-rigid out-of-image-plane rotation, slow and fast gesture changing during rotation. It can also recover from a short-Term missing hand situation in an interactive rate.

AB - In this paper, a marker less 3D hand tracking system for monocular RGB video is presented. We propose a novel two-level approach to efficiently grasp the personal characteristics and high varieties of hand postures. Our system first searches the approximate nearest neighbors in a small personalized real-hand image set, and retrieves more details from a large synthetic 3D hand posture database. Temporal consistency property is also utilized for disambiguating and noise reduction. Our prototype system can approximate hand poses including rigid and non-rigid out-of-image-plane rotation, slow and fast gesture changing during rotation. It can also recover from a short-Term missing hand situation in an interactive rate.

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KW - advanced interface

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Y2 - 16 November 2013 through 18 November 2013

ER -

Markerless 3D hand posture estimation from monocular video by two-level searching

Abstract

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Keywords

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