Authors:
Giacomo Boracchi
and
Vincenzo Caglioti
Affiliation:
Politecnico di Milano, Italy
Keyword(s):
Point Spread Function Parameter Estimation, Motion Blur, Space Varying Blur, Blurred Image Analysis, Optical Flow.
Related
Ontology
Subjects/Areas/Topics:
Computer Vision, Visualization and Computer Graphics
;
Early Vision and Image Representation
;
Feature Extraction
;
Features Extraction
;
Image and Video Analysis
;
Informatics in Control, Automation and Robotics
;
Signal Processing, Sensors, Systems Modeling and Control
Abstract:
In this paper we propose a novel algorithm to estimate motion parameters from a single blurred image, exploiting geometrical relations between image intensities at pixels of a region that contains a corner. Corners are significant both for scene and motion understanding since they permit a univocal interpretation of motion parameters. Motion parameters are estimated locally in image regions, without assuming uniform blur on image so that the algorithm works also with blur produced by camera rotation and, more in general, with space variant blur.