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COMAD
2009
15 years 24 days ago
A Simple and Efficient Lane Detection using Clustering and Weighted Regression
Developing a vision based, efficient and automatic lane detection system from a moving vehicle is a challenging task mainly due to poor quality of lane markings, occlusion created...
Rudra N. Hota, Shahanaz Syed, Subhadip Bandyopadhy...
ICVGIP
2004
15 years 1 months ago
Probabilistic Measures for Motion Segmentation
The first contribution of this paper is a probabilistic approach for measuring motion similarity for point sequences. While most motion segmentation algorithms are based on a rank...
Venu Madhav Govindu
EGITALY
2006
15 years 1 months ago
3D Data Segmentation Using a Non-Parametric Density Estimation Approach
In this paper, a new segmentation approach for sets of 3D unorganized points is proposed. The method is based on a clustering procedure that separates the modes of a non-parametri...
Umberto Castellani, Marco Cristani, Vittorio Murin...
CBMS
2004
IEEE
15 years 3 months ago
Integrating Intensity and Boundary Information for Tissue Classification
A new algorithm is proposed for performing unsupervised tissue classification in medical images by integrating conventional clustering techniques with edge-adaptive segmentation t...
Dzung L. Pham
IPCV
2008
15 years 1 months ago
Robust Hough-Based Symbol Recognition Using Knowledge-Based Hierarchical Neural Networks
Abstract - A robust method for symbol recognition is presented that utilizes a compact signature based on a modified Hough Transform (HT) and knowledge-based hierarchical neural ne...
Alexander Wong, William Bishop