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» Steering in Scale Space to Optimally Detect Image Structures
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ECCV
2004
Springer
14 years 6 months ago
Steering in Scale Space to Optimally Detect Image Structures
Detecting low-level image features such as edges and ridges with spatial filters is improved if the scale of the features are known a priori. Scale-space representations and wavele...
Jeffrey Ng, Anil A. Bharath
MVA
2007
122views Computer Vision» more  MVA 2007»
13 years 6 months ago
Free Parking Space Detection Using Optical Flow-based Euclidean 3D Reconstruction
An automatic parking system provides convenience for drivers by automatically finding free parking spaces and steering automobiles toward them. This paper proposes a vision-based ...
Jae Kyu Suhr, Kwanghyuk Bae, Jaihie Kim, Ho Gi Jun...
BILDMED
2009
160views Algorithms» more  BILDMED 2009»
13 years 6 months ago
A Scale-Space Approach for Image Registration of Vessel Structures
Abstract. We present a multi-scale approach for non-rigid image registration of tubular tree-like structures such as vessels. Therefore, we consider a Gaussian and a combined morph...
Stefan Heldmann, Nils Papenberg
ICIP
2009
IEEE
14 years 6 months ago
Optimum Kernel Function Design From Scale Space Features For Object Detection
Scale-space representation of an image is a significant way to generate features for classification. However, for a specific classification task, the entire scale-space may not be...
IPMI
2009
Springer
14 years 5 months ago
Marginal Space Learning for Efficient Detection of 2D/3D Anatomical Structures in Medical Images
Recently, marginal space learning (MSL) was proposed as a generic approach for automatic detection of 3D anatomical structures in many medical imaging modalities [1]. To accurately...
Yefeng Zheng, Bogdan Georgescu, Dorin Comaniciu