Least-Squares Fitting of Two 3-D Point Sets
IEEE Transactions on Pattern Analysis and Machine Intelligence
Generating octree models of 3D objects from their silhouettes in a sequence of images
Computer Vision, Graphics, and Image Processing
Rapid octree construction from image sequences
CVGIP: Image Understanding
Sensor Modeling, Probabilistic Hypothesis Generation, and Robust Localization for Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Reflectance and texture of real-world surfaces
ACM Transactions on Graphics (TOG)
Surface light fields for 3D photography
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Eigen-Texture Method: Appearance Compression and Synthesis Based on a 3D Model
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image-based reconstruction of spatial appearance and geometric detail
ACM Transactions on Graphics (TOG)
Measuring bidirectional texture reflectance with a kaleidoscope
ACM SIGGRAPH 2003 Papers
Nonlinear optimization framework for image-based modeling on programmable graphics hardware
ACM SIGGRAPH 2003 Papers
Decoupling BRDFs from surface mesostructures
GI '04 Proceedings of the 2004 Graphics Interface Conference
TensorTextures: multilinear image-based rendering
ACM SIGGRAPH 2004 Papers
Rendering Deformable Surface Reflectance Fields
IEEE Transactions on Visualization and Computer Graphics
Out-of-core tensor approximation of multi-dimensional matrices of visual data
ACM SIGGRAPH 2005 Papers
Inverse shade trees for non-parametric material representation and editing
ACM SIGGRAPH 2006 Papers
Nonlinear optimization framework for image-based modeling on programmable graphics hardware
SIGGRAPH '05 ACM SIGGRAPH 2005 Courses
Hierarchical Tensor Approximation of Multi-Dimensional Visual Data
IEEE Transactions on Visualization and Computer Graphics
Principles of Appearance Acquisition and Representation
Foundations and Trends® in Computer Graphics and Vision
International Journal of Computer Vision
Building volumetric appearance models of fabric using micro CT imaging
ACM SIGGRAPH 2011 papers
Advanced textural representation of materials appearance
SIGGRAPH Asia 2011 Courses
Data Driven Surface Reflectance from Sparse and Irregular Samples
Computer Graphics Forum
Higher-order SVD analysis for crowd density estimation
Computer Vision and Image Understanding
BTF compression via sparse tensor decomposition
EGSR'09 Proceedings of the Twentieth Eurographics conference on Rendering
Efficient basis decomposition for scattered reflectance data
EGSR'07 Proceedings of the 18th Eurographics conference on Rendering Techniques
Rapid synchronous acquisition of geometry and appearance of cultural heritage artefacts
VAST'05 Proceedings of the 6th International conference on Virtual Reality, Archaeology and Intelligent Cultural Heritage
Integrated high-quality acquisition of geometry and appearance for cultural heritage
VAST'11 Proceedings of the 12th International conference on Virtual Reality, Archaeology and Cultural Heritage
WebGL-based streaming and presentation framework for bidirectional texture functions
VAST'11 Proceedings of the 12th International conference on Virtual Reality, Archaeology and Cultural Heritage
WebGL-based streaming and presentation of objects with bidirectional texture functions
Journal on Computing and Cultural Heritage (JOCCH)
Technical Section: Interactive high fidelity visualization of complex materials on the GPU
Computers and Graphics
Texture databases - A comprehensive survey
Pattern Recognition Letters
Journal of Computational Physics
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Image-based object modeling can be used to compose photorealistic images of modeled objects for various rendering conditions, such as viewpoint, light directions, etc. However, it is challenging to acquire the large number of object images required for all combinations of capturing parameters and to then handle the resulting huge data sets for the model. This paper presents a novel modeling method for acquiring and preserving appearances of objects. Using a specialized capturing platform, we first acquire objects' geometrical information and their complete 4D indexed texture sets, or bi-directional texture functions (BTF) in a highly automated manner. Then we compress the acquired texture database using tensor product expansion. The compressed texture database facilitates rendering objects with arbitrary viewpoints, illumination, and deformation.