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