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ICDAR
2003
IEEE
15 years 11 months ago
Best Practices for Convolutional Neural Networks Applied to Visual Document Analysis
Neural networks are a powerful technology for classification of visual inputs arising from documents. However, there is a confusing plethora of different neural network methods th...
Patrice Simard, David Steinkraus, John C. Platt
IBPRIA
2009
Springer
15 years 11 months ago
Class Representative Visual Words for Category-Level Object Recognition
Recent works in object recognition often use visual words, i.e. vector quantized local descriptors extracted from the images. In this paper we present a novel method to build such ...
Roberto Javier López-Sastre, Tinne Tuytelaa...
SIGGRAPH
2010
ACM
15 years 11 months ago
Real-time lens blur effects and focus control
We present a novel rendering system for defocus blur and lens effects. It supports physically-based rendering and outperforms previous approaches by involving a novel GPU-based tr...
Sungkil Lee, Elmar Eisemann, Hans-Peter Seidel
CVPR
2000
IEEE
15 years 10 months ago
Multiscale Combination of Physically-Based Registration and Deformation Modeling
1 In this paper we present a novel multiscale approach to recovery of nonrigid motion from sequences of registered intensity and range images. The main idea of our approach is that...
Leonid V. Tsap, Dmitry B. Goldgof, Sudeep Sarkar
MVA
2007
137views Computer Vision» more  MVA 2007»
15 years 7 months ago
Fingerprint Core and Delta Detection by Candidate Analysis
This paper presents a new reliable detection of core and delta in fingerprints by candidate analysis. The line search based method, which is one of the reliable approaches to dete...
Tomohiko Ohtsuka, Daisuke Watanabe, Hiroyuki Aoki