Paper Info
Title
Fast Tracking Of Deformable Objects In Depth And Colour Video
Abstract
One challenge in computer vision is the joint reconstruction of deforming objects from colour and depth videos. So far, a lot of research has focused on deformation reconstruction based on colour images only, but as range cameras like the recently released Kinect become more and more common, the incorporation of depth information becomes feasible.In this article a new method is introduced to track object deformation in depth and colour image data. A NURBS based deformation function allows to decouple the geometrical object complexity from the complexity of the deformation itself, providing a low dimensional space to describe arbitrary 'realistic' deformations. While modelling the tracking objective as an analysis by synthesis problem, which is robust but usually computationally expensive, a set of optimisations is introduced, allowing a very fast calculation of the resulting error function. With a fast semi-global search a system is established that is capable of tracking complex deformations of large objects (6000 triangles and more) with more than 6Hz on a common desktop machine. The algorithm is evaluated using simulated and real data, showing the robustness and performance of the approach.
Year
DOI
Venue
2011
10.5244/C.25.114
PROCEEDINGS OF THE BRITISH MACHINE VISION CONFERENCE 2011
DocType
Citations 
PageRank 
Conference
7
0.59
References 
Authors
14
2
Name
Order
Citations
PageRank
Andreas Jordt1796.02
Reinhard Koch22038170.17