Shape from silhouette outlines using an adaptive dandelion model
Computer Vision and Image Understanding
Image-based multi-view scene analysis using 'conexels'
VisHCI '06 Proceedings of the HCSNet workshop on Use of vision in human-computer interaction - Volume 56
Articulated mesh animation from multi-view silhouettes
ACM SIGGRAPH 2008 papers
Shape from silhouettes based on a centripetal pentahedron model
Graphical Models
Shape from silhouette using topology-adaptive mesh deformation
Pattern Recognition Letters
Real-Time GPU-Based Voxel Carving with Systematic Occlusion Handling
Proceedings of the 31st DAGM Symposium on Pattern Recognition
A quality controllable multi-view object reconstruction method for 3D imaging systems
Journal of Visual Communication and Image Representation
GPU-based parallel construction of compact visual hull meshes
The Visual Computer: International Journal of Computer Graphics
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Volumetric visual hulls have become very popular in many computer vision applications including human body pose estimation and virtualized reality.In these applications, the visual hull is used to approximate the 3D geometry of an object.Existing volumetric visual hull construction techniques, however, produce a 3-color volume data that merely serves as a bounding volume.In other words it lacks an accurate surface representation.Polygonization can produce satisfactory results only at high resolutions.In this study we extend the binary visual hull to an implicit surface in order to capture the geometry of the visual hull itself.In particular, we introduce an octree-based visual hull specific adaptive sampling algorithm to obtain a volumetric representation that provides accuracy proportional to the level of detail.Moreover, we propose a method to process the resulting octree to extract a crack-free polygonal visual hull surface.Experimental results illustrate the performance of the algorithm.