Conference Proceeding

Matching interest points of an object

Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore
10/2005; DOI:10.1109/ICIP.2005.1529765 ISBN: 0-7803-9134-9 pp.I - 373-6 In proceeding of: Image Processing, 2005. ICIP 2005. IEEE International Conference on, Volume: 1
Source: IEEE Xplore

ABSTRACT The same object seen in two different images can be geometrically and photometrically transformed. In this paper, we describe the method of matching interest points of the same object present in different images. With the knowledge of relative scales of the object, we compute local invariant descriptors for each of the detected interest points. This local invariant descriptor is used to match the interest points with the help of a hashing technique. The matching method could find a good number of correct matches, for different kinds of transformations in cluttered environments and partial occlusions.

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Keywords

cluttered environments
 
detected interest points
 
different images
 
different kinds
 
good number
 
hashing technique
 
interest points
 
local invariant descriptor
 
local invariant descriptors
 
matching method
 
object present
 
partial occlusions
 
relative scales