Titlebook: Articulated Motion and Deformable Objects; 5th International Co Francisco J. Perales,Robert B. Fisher Conference proceedings 2008 Springer-

集聚成團(tuán)

FLAG

paring the appearance of the different parts with the Jensen-Shannon divergence. Tracking is then achieved by maximizing the appearance differences of all involved parts and the background simultaneously via gradient descent. We demonstrate the improvements with tracking results from simulated and real world scenes.

商店街

Olaf Groh-Samberg,Henning Lohmanndel is extracted from each frame and motion tracking and analysis are conducted using the skeleton models. Then, a representative frame is deformed based on the extracted motion information. As a result, 3D scene representation with much smaller data size is made possible.

CLEFT

,Arbeit, Bildung und menschliche Würde,re rotations. While this paper presents the theory behind the interpolation and its description as a tool, we also outline the possible advantages of using this technique for vision and graphics applications.

神化怪物

Nita Abrashi-Smajli,Matthias Baums of each limb, a dynamic programming algorithm is used to find the best configuration according to the links between limbs. The self-occultations between the limbs are directly taken into account by the tracking algorithm and results show the interest of the proposed approach.

nutrients

NUDGE

Inverse Kinematics Using Sequential Monte Carlo Methods,s the advantage to avoid the classical pitfalls of numerical inversion methods since only direct calculations are required. The resulting algorithm accepts arbitrary constraints and exhibits linear complexity with respect to the number of degrees of freedom. Hence, the proposed system is far more ef

HALL

極深

Continuous Hand Gesture Recognition in the Learned Hierarchical Latent Variable Space,ture extraction and Hierarchical Conditional Random Field (Hierarchical CRF) based motion modeling. Articulated hands can be decomposed into several hand parts and we explore the underlying structures of articulated action spaces for both the hand and hand parts using Hierarchical Gaussian Process L

隱藏

Real-Time 3D Body Pose Tracking from Multiple 2D Images,nation and near-IR cameras to overcome limitations of a dimly lit environment. Features, such as silhouettes and medial axis of blobs are extracted from the images which lack much internal texture. We use a combination of a 2D ICP and particle filtering method to estimate the articulated body config