Fundamentals of interactive computer graphics
Fundamentals of interactive computer graphics
Identification of 3D objects from multiple silhouettes using Quadtrees/Octrees
Computer Vision, Graphics, and Image Processing
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Rapid octree construction from image sequences
CVGIP: Image Understanding
Description of complex objects from multiple range images using an inflating balloon model
Computer Vision and Image Understanding
A signal processing approach to fair surface design
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
A volumetric method for building complex models from range images
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
A Level-Set Approach to 3D Reconstruction from Range Data
International Journal of Computer Vision
The digital Michelangelo project: 3D scanning of large statues
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Semi-regular mesh extraction from volumes
Proceedings of the conference on Visualization '00
Reconstruction and representation of 3D objects with radial basis functions
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
Real-time 3D model acquisition
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
A Theory of Shape by Space Carving
International Journal of Computer Vision - Special issue on Genomic Signal Processing
Dynamic Catmull-Clark Subdivision Surfaces
IEEE Transactions on Visualization and Computer Graphics
Fast Surface Reconstruction Using the Level Set Method
VLSM '01 Proceedings of the IEEE Workshop on Variational and Level Set Methods (VLSM'01)
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Filling the Signed Distance Field by Fitting Local Quadrics
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Adaptively Merging Large-Scale Range Data with Reflectance Properties
IEEE Transactions on Pattern Analysis and Machine Intelligence
Silhouette and stereo fusion for 3D object modeling
Computer Vision and Image Understanding - Model-based and image-based 3D scene representation for interactive visalization
3DIM '05 Proceedings of the Fifth International Conference on 3-D Digital Imaging and Modeling
Multi-View Stereo via Volumetric Graph-Cuts
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
A volumetric fusion technique for surface reconstruction from silhouettes and range data
Computer Vision and Image Understanding
Carved visual hulls for image-based modeling
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
A surface deformation framework for 3d shape recovery
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
Robust and efficient photo-consistency estimation for volumetric 3d reconstruction
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part II
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We present a coarse-to-fine surface reconstruction method based on mesh deformation to build watertight surface models of complex objects from their silhouettes and range data. The deformable mesh, which initially represents the object visual hull, is iteratively displaced towards the triangulated range surface using the line-of-sight information. Each iteration of the deformation algorithm involves smoothing and restructuring operations to regularize the surface evolution process. We define a non-shrinking and easy-to-compute smoothing operator that fairs the surface separately along its tangential and normal directions. The mesh restructuring operator, which is based on edge split, collapse and flip operations, enables the deformable mesh to adapt its shape to the object geometry without suffering from any geometrical distortions. By imposing appropriate minimum and maximum edge length constraints, the deformable mesh, hence the object surface, can be represented at increasing levels of detail. This coarse-to-fine strategy, that allows high resolution reconstructions even with deficient and irregularly sampled range data, not only provides robustness, but also significantly improves the computational efficiency of the deformation process. We demonstrate the performance of the proposed method on several real objects.