DocumentCode :
293582
Title :
A guided image matching approach using Hausdorff distance with interesting points detection
Author :
You, Jane ; Pissaloux, E. ; Hellec, J.-L. ; Bonnin, P.
Author_Institution :
Sch. of Comput. & Inf. Sci., South Australia Univ., The Levels, SA, Australia
Volume :
1
fYear :
1994
fDate :
13-16 Nov 1994
Firstpage :
968
Abstract :
This paper describes an approach to object matching in aerial images using Hausdorff distance. Instead of applying the pointwise comparison procedure in terms of the Hausdorff distance, the detection of the interesting points in image regions is introduced to guide the search for the best fit between two image sets. Such a guided matching scheme based on the Hausdorff distance improves the conventional blind comparison procedure and speed up the operation. It can be further implemented in parallel
Keywords :
feature extraction; image matching; image segmentation; object detection; object recognition; transforms; Hausdorff distance; aerial image analysis; distance transforms; feature extraction; guided image matching; image regions; interesting points detection; object detection; object recognition; parallel implementation; Australia; Cost function; Feature extraction; Image matching; Image recognition; Information science; Object detection; Parallel processing; Pixel; Search methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1994. Proceedings. ICIP-94., IEEE International Conference
Conference_Location :
Austin, TX
Print_ISBN :
0-8186-6952-7
Type :
conf
DOI :
10.1109/ICIP.1994.413253
Filename :
413253
Link To Document :
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