Abstract
We present a new scheme for feature points detection on a grey level image. Its principle is the study of the gradient phase signal along object edges and the characterization of the behavior across scales of the wavelet coefficients of this signal. The features points are determined as transition points of this signal. In the second part, we study the robustness of the detection scheme against changes of the acquisition parameters: the viewpoint and the zoom of the camera, the object rotation, the luminescence variation and noise. The results show the method efficiency: most of the points are still detected even if these parameters vary.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
