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» Novel image feature alphabets for object recognition
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CVPR
2003
IEEE
16 years 2 days ago
Shape Context and Chamfer Matching in Cluttered Scenes
This paper compares two methods for object localization from contours: shape context and chamfer matching of templates. In the light of our experiments, we suggest improvements to...
Arasanathan Thayananthan, Bjoern Stenger, Philip H...
ICMCS
2005
IEEE
246views Multimedia» more  ICMCS 2005»
15 years 3 months ago
A SOM-wavelet networks for face identification
This paper describes a novel SOM-Wavelet Networks method for face recognition. We employed a SOM algorithm, which is based on the structure of a biological model, to extract shape...
Yang Zhi, Gu Ming
100
Voted
MICCAI
2001
Springer
15 years 2 months ago
Valmet: A New Validation Tool for Assessing and Improving 3D Object Segmentation
Extracting 3D structures from volumetric images like MRI or CT is becoming a routine process for diagnosis based on quantitation, for radiotherapy planning, for surgical planning a...
Guido Gerig, Matthieu Jomier, Miranda Chakos
GIS
2009
ACM
15 years 1 months ago
Next generation map making: geo-referenced ground-level LIDAR point clouds for automatic retro-reflective road feature extractio
This paper presents a novel method to process large scale, ground level Light Detection and Ranging (LIDAR) data to automatically detect geo-referenced navigation attributes (traf...
Xin Chen, Brad Kohlmeyer, Matei Stroila, Narayanan...
IJON
2007
124views more  IJON 2007»
14 years 9 months ago
Palmprint recognition with 2DPCA+PCA based on modular neural networks
In this letter, a novel modular neural network (MNN) classifier, which partitions a K-class problem into many much easier two-class problems in sub-subspaces, was proposed to per...
Zhong-Qiu Zhao, De-Shuang Huang, Wei Jia