Title :
The long-range saliency of edge- and corner-based salient points
Author :
Heidemann, Gunther
Author_Institution :
Neuroinformatics Group, Bielefeld Univ., Germany
Abstract :
A major goal of salient-point (SP) detection is increasing computational efficiency. Therefore, methods which can detect saliency of a large region by evaluation of only a small local patch are of particular interest. This paper checks for well-known detectors whether saliency outreaches the actual SPs.
Keywords :
computer vision; edge detection; feature extraction; neural nets; object detection; object recognition; computer vision; corner-based salient-point detection; edge-feature detection; neural network; object recognition; pattern analysis; Computational efficiency; Computer vision; Content based retrieval; Detectors; Feature extraction; Image edge detection; Image retrieval; Neural networks; Object detection; Object recognition; Computer vision; edge and feature detection; neural networks; object recognition; pattern analysis; Algorithms; Artificial Intelligence; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Signal Processing, Computer-Assisted;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2005.854490
