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» An Adaptive Sampling Method for Layered Depth Image
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ECCV
2010
Springer
13 years 8 months ago
Self-Adapting Feature Layers
Abstract. This paper presents a new approach for fitting a 3D morphable model to images of faces, using self-adapting feature layers (SAFL). The algorithm integrates feature detect...
CGF
2010
189views more  CGF 2010»
13 years 7 months ago
Real-time Depth of Field Rendering via Dynamic Light Field Generation and Filtering
We present a new algorithm for efficient rendering of high-quality depth-of-field (DoF) effects. We start with a single rasterized view (reference view) of the scene, and sample t...
Xuan Yu, Rui Wang, Jingyi Yu
VMV
2007
219views Visualization» more  VMV 2007»
13 years 8 months ago
GPU Rendering of Secondary Effects
In this paper we present an efficient data structure and algorithms for GPU ray tracing of secondary effects like reflections, refractions and shadows. Our method extends previo...
Kai Bürger, Stefan Hertel, Jens Krüger, ...
ICPR
2006
IEEE
14 years 8 months ago
Adaptive variational sinogram interpolation of sparsely sampled CT data
We present various kinds of variational PDE based methods to interpolate missing sinogram data for tomographic image reconstruction. Using the observed sinogram data we inpaint th...
Harald Köstler, Marcus Prümmer, Ulrich R...
BMCBI
2007
123views more  BMCBI 2007»
13 years 7 months ago
Robust clustering in high dimensional data using statistical depths
Background: Mean-based clustering algorithms such as bisecting k-means generally lack robustness. Although componentwise median is a more robust alternative, it can be a poor cent...
Yuanyuan Ding, Xin Dang, Hanxiang Peng, Dawn Wilki...