Evaluation of Interest Point Detectors
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Hybrid Tracking for Outdoor Augmented Reality Applications
IEEE Computer Graphics and Applications
Focus-of-Attention from Local Color Symmetries
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scene-consistent detection of feature points in video sequences
Computer Vision and Image Understanding
Foundations and Trends® in Computer Graphics and Vision
Feature point detection utilizing the empirical mode decomposition
EURASIP Journal on Advances in Signal Processing
Unsupervised image categorization
Image and Vision Computing
A system for rotational velocity computation from image sequences
Image and Vision Computing
Real-time camera pose in a room
ICVS'03 Proceedings of the 3rd international conference on Computer vision systems
Original paper: Real time feature extraction and Standard Cutting Models fitting in grape leaves
Computers and Electronics in Agriculture
Representation interest point using empirical mode decomposition and independent components analysis
ISMIS'06 Proceedings of the 16th international conference on Foundations of Intelligent Systems
Fast panoramic image generation method using morphological corner detection
PCM'05 Proceedings of the 6th Pacific-Rim conference on Advances in Multimedia Information Processing - Volume Part I
Feature point extraction from the local frequency map of an image
Journal of Electrical and Computer Engineering
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This paper presents a new operater for corner detection. This operator uses a variant of the morphological closing operator, which we have called asymmetrical closing. It consists of the successive application of different morphological transformations using different structuring elements. Each of these structuring elements used to probe the image under study is tuned to affect corners of different orientation and brightness. We found that this kind of approach, based on brightness comparisons, leads to better quality results than others and is achieved at a lower computational cost.