3D Object recognition using a voting algorithm in a real-world environment

This paper presents a novel 3D object recognition method. The proposed objectives are to overcome shortcoming of the appearance-based method, which lacks a spatial relationship between the parts of an object, and those of other 3D model methods, which require complicated computation. The proposed me...

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Bibliographic Details
Published in2011 IEEE Workshop on Applications of Computer Vision (WACV) pp. 153 - 158
Main Authors Tangruamsub, Sirinart, Takada, Keisuke, Hasegawa, Osamu
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2011
Subjects
Computational modeling
Estimation
Object detection
Object recognition
Testing
Three dimensional displays
Training
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Summary:This paper presents a novel 3D object recognition method. The proposed objectives are to overcome shortcoming of the appearance-based method, which lacks a spatial relationship between the parts of an object, and those of other 3D model methods, which require complicated computation. The proposed method is based on a voting process. Appearance estimation is introduced in this work in order to deal with the faulty detection problem. We tested our method for object detection and pose estimation, and the results showed that our method improved the average precision and detection time compared to other methods.
ISBN:1424494966
9781424494965
ISSN:1550-5790
2642-9381
DOI:10.1109/WACV.2011.5711497