TY - GEN
T1 - Segment-based hand pose estimation
AU - Schwarz, C.
AU - Lobo, N. V.
PY - 2005/1/1
Y1 - 2005/1/1
N2 - The work presented here solves two major problems of hand pose recognition: (A) determining what pose is shown in a given, input picture and (B) detecting the presence of a known input pose in a given input video. It builds on the earlier work of Athitsos and Sclaroff (2003) toward solving problem A. Because that method relies upon lines found in the input data and requires computer-generated database models, it is unsuitable for the later, video problem. Our reworking of this framework uses different, region-based information to allow video frames to be used as the "database" in which to look for the test pose. It returns database images of hands in the same configuration as a query image by using a series of steps based on the number and direction of visible finger protrusions, Chamfer distance, orientation histograms, and a competitive, comparison-based matching of each visible finger segment. Detailed result data demonstrates the system's feasibility and potential.
AB - The work presented here solves two major problems of hand pose recognition: (A) determining what pose is shown in a given, input picture and (B) detecting the presence of a known input pose in a given input video. It builds on the earlier work of Athitsos and Sclaroff (2003) toward solving problem A. Because that method relies upon lines found in the input data and requires computer-generated database models, it is unsuitable for the later, video problem. Our reworking of this framework uses different, region-based information to allow video frames to be used as the "database" in which to look for the test pose. It returns database images of hands in the same configuration as a query image by using a series of steps based on the number and direction of visible finger protrusions, Chamfer distance, orientation histograms, and a competitive, comparison-based matching of each visible finger segment. Detailed result data demonstrates the system's feasibility and potential.
UR - http://www.scopus.com/inward/record.url?scp=42949104892&partnerID=8YFLogxK
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U2 - 10.1109/CRV.2005.72
DO - 10.1109/CRV.2005.72
M3 - Conference contribution
AN - SCOPUS:42949104892
T3 - Proceedings - 2nd Canadian Conference on Computer and Robot Vision, CRV 2005
SP - 42
EP - 49
BT - Proceedings - 2nd Canadian Conference on Computer and Robot Vision, CRV 2005
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd Canadian Conference on Computer and Robot Vision, CRV 2005
Y2 - 9 May 2005 through 11 May 2005
ER -