NDLI: A new method to detect object and estimate the position and the orientation from an image using a 3-D model having feature points

Content Provider	IEEE Xplore Digital Library
Author	Kayanuma, M. Hagiwara, M.
Copyright Year	1999
Description	Author affiliation: Dept. of Inf. & Comput. Sci., Keio Univ., Yokohama, Japan (Kayanuma, M.)
Abstract	We propose an approach to detecting a three-dimensional (3-D) object and estimating its position and orientation. The proposed system can estimate the object's 3-D pose from a single input image by using 3-D model with feature points. The 3-D model is employed in order to represent a 3-D object, and the system can create 2-D models projected from various viewpoints. Then, the system compares each 2-D model with the input image and calculates the matching rate, taking notice of some partial features of the object. This object recognition can be regarded as an optimization problem: a maximum search problem of the model's matching rate. In the proposed system, a genetic algorithm (GA) is employed for this optimization. In the computer experiments, we took a car as an example of the object. We have tested various kinds of images and obtained excellent results.
Starting Page	931
Ending Page	936
File Size	554881
Page Count	6
File Format	PDF
ISBN	0780357310
ISSN	1062922X
DOI	10.1109/ICSMC.1999.812535
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1999-10-12
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Object detection Object recognition Genetic algorithms Computer science Electronic mail Search problems Testing Computer vision Robot vision systems Image recognition
Content Type	Text
Resource Type	Article

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