Name
Title | ||
|---|---|---|
Reconstruction of segmentally articulated structure in freeform movement with low density feature points |
Abstract | ||
|---|---|---|
Though a large body of research has focused on tracking and identifying objects from the domain of colour or grey-scale images, there is a relative dearth in the literature on complex articulated/non-rigid motion reconstruction from a collection of low density feature points. In this paper, we propose a segment-based articulated matching algorithm to establish a crucial self-initialising identification in model-based point-feature tracking of articulated motion with near-rigid segments. We avoid common assumptions such as pose similarity or small motion with respect to the model, and assume no prior knowledge of a specific movement from which to restrict pose identification. Experimental results based on synthetic pose and real-world human motion capture data demonstrate the ability of the algorithm to perform the identification task. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1016/j.imavis.2004.02.013 | Image and Vision Computing |
Keywords | Field | DocType |
Articulated point matching,Non-rigid pose estimation,Affine transformation,Motion tracking and object recognition,Motion capture | Affine transformation,Motion capture,Computer vision,Pattern recognition,3D pose estimation,Human motion,Artificial intelligence,Motion estimation,Articulated body pose estimation,Mathematics,Blossom algorithm,Low density | Journal |
Volume | Issue | ISSN |
22 | 10 | 0262-8856 |
Citations | PageRank | References |
2 | 0.38 | 16 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Baihua Li | 1 | 176 | 21.71 |
| Qinggang Meng | 2 | 273 | 23.54 |
| H. Holstein | 3 | 79 | 8.21 |