On the early history of the singular value decomposition
On the early history of the singular value decomposition
Digital video processing
QuickTime VR: an image-based approach to virtual environment navigation
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
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
Recovering photometric properties of architectural scenes from photographs
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Rendering with concentric mosaics
Proceedings of the 26th annual conference on Computer graphics and interactive techniques
A user-programmable vertex engine
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
3D RGB image compression for interactive applications
ACM Transactions on Graphics (TOG)
Source Coding Theory
Multiresolution Signal Decomposition: Transforms, Subbands, and Wavelets
Multiresolution Signal Decomposition: Transforms, Subbands, and Wavelets
Digital Coding of Waveforms: Principles and Applications to Speech and Video
Digital Coding of Waveforms: Principles and Applications to Speech and Video
Interactive Relighting of Panoramas
IEEE Computer Graphics and Applications
Image-based Rendering with Controllable Illumination
Proceedings of the Eurographics Workshop on Rendering Techniques '97
What is the set of images of an object under all possible lighting conditions?
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Modeling Geometric Structure and Illumination Variation of a Scene from Real Images
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Data compression for light-field rendering
IEEE Transactions on Circuits and Systems for Video Technology
Image-based relighting: representation and compression
Integrated image and graphics technologies
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The ability to change illumination is a crucial factor in image-based modeling and rendering. Image-based relighting offers such capability. However, the trade-off is the enormous increase of storage requirement. In this paper, we propose a compression scheme that effectively reduces the data volume while maintaining the real-time relighting capability. The proposed method is based on principal component analysis (PCA). A block-wise PCA is used to practically process the huge input data. The output of PCA is a set of eigenimages and the corresponding relighting coefficients. By dropping those low-energy eigenimages, the data size is drastically reduced. To further compress the data, eigenimages left are compressed using transform coding and quantization while the relighting coefficients are compressed using uniform quantization. We also suggest the suitable target bit rate for each phase of the compression method in order to preserve the visual quality. Finally, we propose real-time engine that relights images from the compressed data.