An optimal algorithm for approximate nearest neighbor searching fixed dimensions
Journal of the ACM (JACM)
Animation and rendering of complex water surfaces
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Combining the Advantages of Local and Global Optic Flow Methods
Proceedings of the 24th DAGM Symposium on Pattern Recognition
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
Vision-based control of 3D facial animation
Proceedings of the 2003 ACM SIGGRAPH/Eurographics symposium on Computer animation
ACM SIGGRAPH 2003 Papers
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Editing arbitrarily deforming surface animations
ACM SIGGRAPH 2006 Papers
Segmenting a deforming mesh into near-rigid components
The Visual Computer: International Journal of Computer Graphics
Surface Deformation Models for Nonrigid 3D Shape Recovery
IEEE Transactions on Pattern Analysis and Machine Intelligence
Gradient domain editing of deforming mesh sequences
ACM SIGGRAPH 2007 papers
Multi-scale features for approximate alignment of point-based surfaces
SGP '05 Proceedings of the third Eurographics symposium on Geometry processing
Reconstruction of deforming geometry from time-varying point clouds
SGP '07 Proceedings of the fifth Eurographics symposium on Geometry processing
SGP '07 Proceedings of the fifth Eurographics symposium on Geometry processing
Articulated mesh animation from multi-view silhouettes
ACM SIGGRAPH 2008 papers
Performance capture from sparse multi-view video
ACM SIGGRAPH 2008 papers
ACM SIGGRAPH 2008 papers
Space-time surface reconstruction using incompressible flow
ACM SIGGRAPH Asia 2008 papers
Hierarchical aggregation for efficient shape extraction
The Visual Computer: International Journal of Computer Graphics
Efficient reconstruction of nonrigid shape and motion from real-time 3D scanner data
ACM Transactions on Graphics (TOG)
Video SnapCut: robust video object cutout using localized classifiers
ACM SIGGRAPH 2009 papers
Deforming meshes that split and merge
ACM SIGGRAPH 2009 papers
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Segmenting animated objects into near-rigid components
The Visual Computer: International Journal of Computer Graphics
High resolution passive facial performance capture
ACM SIGGRAPH 2010 papers
Marker-less 3D feature tracking for mesh-based human motion capture
Proceedings of the 2nd conference on Human motion: understanding, modeling, capture and animation
Contextual Part Analogies in 3D Objects
International Journal of Computer Vision
High-quality passive facial performance capture using anchor frames
ACM SIGGRAPH 2011 papers
Temporally coherent completion of dynamic shapes
ACM Transactions on Graphics (TOG)
Bilateral filtering-based optical flow estimation with occlusion detection
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Tracking surfaces with evolving topology
ACM Transactions on Graphics (TOG) - SIGGRAPH 2012 Conference Proceedings
Learning temporally consistent rigidities
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Fast hierarchical animated object decomposition using approximately invariant signature
The Visual Computer: International Journal of Computer Graphics
Lightweight binocular facial performance capture under uncontrolled lighting
ACM Transactions on Graphics (TOG) - Proceedings of ACM SIGGRAPH Asia 2012
Sketch-based mesh cutting: A comparative study
Graphical Models
| Hi-index | 0.00 |
This paper presents a framework for efficient feature tracking of time-varying surfaces. The framework can not only capture the dynamic geometry features on time-varying surfaces, but can also compute the accurate boundaries of the geometry features. The basic idea of the proposed approach is using the multi-scale motion flow and surface matching information to propagate the feature frame on time-varying surfaces. We first define an effective multi-scale geometry motion flow for the time-varying surfaces, which efficiently propagates the geometry features along the time direction of the time-varying surfaces. By combining both the approximately invariant signature vectors and geometry motion flow vectors, we also incorporate the shape matching into the system to process feature tracking for time-varying surfaces in large deformation while with low frame sampling rate. Our approach does not depend on the topological connection of the underlying surfaces. Thus, it can process both mesh-based and point-based time-varying surfaces without vertex-to-vertex correspondence across the frames. Feature tracking results on different kinds of time-varying surfaces illustrate the efficiency and effectiveness of the proposed method.