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» The Automatic Generation of Sparse Primitives
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3DPVT
2006
IEEE
295views Visualization» more  3DPVT 2006»
13 years 9 months ago
Efficient Sparse 3D Reconstruction by Space Sweeping
This paper introduces a feature based method for the fast generation of sparse 3D point clouds from multiple images with known pose. We extract sub-pixel edge elements (2D positio...
Joachim Bauer, Christopher Zach, Horst Bischof
CG
2006
Springer
13 years 7 months ago
Shape reasoning and understanding
s: clustering, denoising, sharp feature, shape abstraction, reverse engineering In this paper we describe a hierarchical face clustering algorithm for triangle meshes based on fit...
Bianca Falcidieno, Remco C. Veltkamp
ICASSP
2010
IEEE
13 years 7 months ago
Learning with synthesized speech for automatic emotion recognition
Data sparseness is an ever dominating problem in automatic emotion recognition. Using artificially generated speech for training or adapting models could potentially ease this: t...
Bjoern Schuller, Felix Burkhardt
ICFP
2007
ACM
14 years 7 months ago
Bidirectionalization transformation based on automatic derivation of view complement functions
Bidirectional transformation is a pair of transformations: a view function and a backward transformation. A view function maps one data structure called source onto another called...
Kazutaka Matsuda, Zhenjiang Hu, Keisuke Nakano, Ma...
ICCAD
2002
IEEE
176views Hardware» more  ICCAD 2002»
14 years 4 months ago
High capacity and automatic functional extraction tool for industrial VLSI circuit designs
In this paper we present an advanced functional extraction tool for automatic generation of high-level RTL from switch-level circuit netlist representation. The tool is called FEV...
Sasha Novakovsky, Shy Shyman, Ziyad Hanna