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GradientShop: A gradient-domain optimization framework for image and video filtering
Pravin Bhat, C. Lawrence Zitnick, Michael Cohen, Brian Curless
Article No.: 10
We present an optimization framework for exploring gradient-domain solutions for image and video processing. The proposed framework unifies many of the key ideas in the gradient-domain literature under a single optimization formulation. Our hope...
Feature-preserving triangular geometry images for level-of-detail representation of static and skinned meshes
Wei-Wen Feng, Byung-Uck Kim, Yizhou Yu, Liang Peng, John Hart
Article No.: 11
Geometry images resample meshes to represent them as texture for efficient GPU processing by forcing a regular parameterization that often incurs a large amount of distortion. Previous approaches broke the geometry image into multiple rectangular...
We describe a framework for improving the quality of personal photos by using a person's favorite photographs as examples. We observe that the majority of a person's photographs include the faces of a photographer's family and friends and often...
This article introduces an optimization approach for modeling and rendering impossible figures. Our solution is inspired by how modeling artists construct physical 3D models to produce a valid 2D view of an impossible figure. Given a set of 3D...
Distributed gradient-domain processing of planar and spherical images
Michael Kazhdan, Dinoj Surendran, Hugues Hoppe
Article No.: 14
Gradient-domain processing is widely used to edit and combine images. In this article we extend the framework in two directions. First, we adapt the gradient-domain approach to operate on a spherical domain, to enable operations such as seamless...
The coloring of 3D models using 2D or 3D texture mapping has well-known intrinsic problems, such as mapping discontinuities and limitations to model editing after coloring. Workarounds for these problems often require adopting very complex...
An efficient multigrid method for the simulation of high-resolution elastic solids
Yongning Zhu, Eftychios Sifakis, Joseph Teran, Achi Brandt
Article No.: 16
We present a multigrid framework for the simulation of high-resolution elastic deformable models, designed to facilitate scalability on shared memory multiprocessors. We incorporate several state-of-the-art techniques from multigrid theory, while...
Temporal upsampling of performance geometry using photometric alignment
Cyrus A. Wilson, Abhijeet Ghosh, Pieter Peers, Jen-Yuan Chiang, Jay Busch, Paul Debevec
Article No.: 17
We present a novel technique for acquiring detailed facial geometry of a dynamic performance using extended spherical gradient illumination. Key to our method is a new algorithm for jointly aligning two photographs, under a gradient...
Programmable rendering of line drawing from 3D scenes
Stéphane Grabli, Emmanuel Turquin, Frédo Durand, François X. Sillion
Article No.: 18
This article introduces a programmable approach to nonphotorealistic line drawings from 3D models, inspired by programmable shaders in traditional rendering. This approach relies on the assumption generally made in NPR that style attributes...
We present a probabilistic model of how viewers may use defocus blur in conjunction with other pictorial cues to estimate the absolute distances to objects in a scene. Our model explains how the pattern of blur in an image together with relative...
Acknowledgment - AIM@SHAPE project attribution
Article No.: 20