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CVPR
2005
IEEE
16 years 2 months ago
Isophote Properties as Features for Object Detection
Usually, object detection is performed directly on (normalized) gray values or gray primitives like gradients or Haar-like features. In that case the learning of relationships bet...
Jeroen Lichtenauer, Emile A. Hendriks, Marcel J. T...
VLUDS
2010
232views Visualization» more  VLUDS 2010»
14 years 7 months ago
Methods for Feature Detection in Point Clouds
This paper gives an overview over several techniques for detection of features, and in particular sharp features, on point-sampled geometry. In addition, a new technique using the...
Christopher Weber, Stefanie Hahmann, Hans Hagen
ICIP
2009
IEEE
16 years 1 months ago
Object Detection Via Boosted Deformable Features
It is a common practice to model an object for detection tasks as a boosted ensemble of many models built on features of the object. In this context, features are defined as subre...
115
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CVPR
2007
IEEE
16 years 2 months ago
3D Probabilistic Feature Point Model for Object Detection and Recognition
This paper presents a novel statistical shape model that can be used to detect and localise feature points of a class of objects in images. The shape model is inspired from the 3D...
Sami Romdhani, Thomas Vetter
CLEAR
2007
Springer
179views Biometrics» more  CLEAR 2007»
15 years 6 months ago
HMM-Based Acoustic Event Detection with AdaBoost Feature Selection
Given the spectral difference between speech and acoustic events, we propose using Kullback-Leibler distance to quantify the discriminant capability of all speech feature componen...
Xi Zhou, Xiaodan Zhuang, Ming Liu, Hao Tang, Mark ...