Sciweavers

Share
ICPR
2000
IEEE

Hand Posture Estimation by Combining 2-D Appearance-Based and 3-D Model-Based Approaches

8 years 10 months ago
Hand Posture Estimation by Combining 2-D Appearance-Based and 3-D Model-Based Approaches
This paper proposes a method for the rapid and precise estimation of human hand postures by combining 2-D appearance matching and 3-D model-based fitting. First a rough posture estimate is obtained by image indexing. Each possible hand appearance generated from a given 3-D shape model is labeled by an index obtained by PCA compression and registered with its 3-D model parameters in advance. By retrieving the index of the input image, the method can obtain the matched appearance image and its 3-D parameters rapidly. Then, starting from the obtained rough estimate, it estimates the posture and moreover refines the given initial 3-D model by model-fitting. The sequential activation of the two processes in every frame gives the precise posture estimate rapidly. The effectiveness of the method is shown by experimental results.
Nobutaka Shimada, Kousuke Kimura, Yoshiaki Shirai,
Added 31 Jul 2010
Updated 31 Jul 2010
Type Conference
Year 2000
Where ICPR
Authors Nobutaka Shimada, Kousuke Kimura, Yoshiaki Shirai, Yoshinori Kuno
Comments (0)
books