TY - GEN
T1 - Multi-part non-rigid object tracking based on time model-space gradients
AU - Nunomaki, T.
AU - Yonemoto, S.
AU - Arita, D.
AU - Taniguchi, R.
AU - Tsuruta, N.
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2000.
PY - 2000
Y1 - 2000
N2 - This paper presents a shape and pose estimation method for 3D multi-part objects, the purpose of which is to easily map objects from the real world into virtual environments. In general, complex 3D multi-part objects cause undesired self-occlusion and non-rigid motion. To deal with the problem, we assume the following constraints: – object model is represented in a tree structure consisting of deformable parts. – connected parts are articulated at one point (called “articulation point”). – as a 3D parametric model of the parts, we employ deformable superquadrics (we call DSQ). To estimate the parameters from the sensory data, we use time modelspace gradient method, which reduces the parameter estimation problem into solving a simultaneous linear equation. We have demonstrated that our system works well for multiple-part objects using real image data.
AB - This paper presents a shape and pose estimation method for 3D multi-part objects, the purpose of which is to easily map objects from the real world into virtual environments. In general, complex 3D multi-part objects cause undesired self-occlusion and non-rigid motion. To deal with the problem, we assume the following constraints: – object model is represented in a tree structure consisting of deformable parts. – connected parts are articulated at one point (called “articulation point”). – as a 3D parametric model of the parts, we employ deformable superquadrics (we call DSQ). To estimate the parameters from the sensory data, we use time modelspace gradient method, which reduces the parameter estimation problem into solving a simultaneous linear equation. We have demonstrated that our system works well for multiple-part objects using real image data.
UR - http://www.scopus.com/inward/record.url?scp=84944033954&partnerID=8YFLogxK
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U2 - 10.1007/10722604_7
DO - 10.1007/10722604_7
M3 - Conference contribution
AN - SCOPUS:84944033954
SN - 354067912X
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 72
EP - 82
BT - Articulated Motion and Deformable Objects - 1st International Workshop, AMDO 2000, Proceedings
A2 - Nagel, Hans-Hellmut
A2 - Perales Lopez, Francisco J.
PB - Springer Verlag
T2 - 1st International Workshop on Articulated Motion and Deformable Objects, AMDO 2000
Y2 - 7 September 2000 through 9 September 2000
ER -