Feature point Detection in Blurred Images

: Feature point FP detection is an important pre-processing step in image registration, data fusion, object recognition and in many other tasks. This paper deals with multiframe FP detection, i.e. detection in two or more images of the same scene which are supposed to be blurred, noisy, rotated and shifted with respect to each other. We present a new method invariant under rotation that can handle di erently blurred images. Thanks to this, the point sets extracted from di erent frames have relatively high number of common elements. This property is highly desirable for further multiframe processing. The performance of the method is demonstrated experimentally on satellite images.

• Type: Conference
• Year: 1998
• Where: IVCNZ
• Authors: Jaroslav Kautsky, Barbara Zitová, Jan Flusser, Gabriele Peters
• Keywords: Computer Vision, FP Detection, IVCNZ 1998, Multiframe Fp Detection, Point Fp Detection