Abstract
We propose a high-speed 3-D object pose recognition method. The method's main feature is that a set of distinctive 3-D vector pairs, each of which consists of three different 3-D points, is used for matching process. A vector pair with a low occurrence probability of a model object means that it is distinctive not only in a model but also in an acquired image. Therefore, such vector pairs are expected to avoid false matching. Experimental results have shown that the proposed method is about 60 times faster and increases the recognition success rate from 62.0% to 94.6% in comparison with the Spin Image method.
| Original language | English |
|---|---|
| Pages (from-to) | 1853-1854 |
| Number of pages | 2 |
| Journal | IEEJ Transactions on Electronics, Information and Systems |
| Volume | 133 |
| Issue number | 9 |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
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Keywords
- 3-D object recognition
- 3-D vector pair
- Occurrence probability
- Range image
ASJC Scopus subject areas
- Electrical and Electronic Engineering
Cite this
High-speed object pose recognition using distinctive 3-D vector pairs. / Akizuki, Shuichi; Hashimoto, Manabu.
In: IEEJ Transactions on Electronics, Information and Systems, Vol. 133, No. 9, 2013, p. 1853-1854.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - High-speed object pose recognition using distinctive 3-D vector pairs
AU - Akizuki, Shuichi
AU - Hashimoto, Manabu
PY - 2013
Y1 - 2013
N2 - We propose a high-speed 3-D object pose recognition method. The method's main feature is that a set of distinctive 3-D vector pairs, each of which consists of three different 3-D points, is used for matching process. A vector pair with a low occurrence probability of a model object means that it is distinctive not only in a model but also in an acquired image. Therefore, such vector pairs are expected to avoid false matching. Experimental results have shown that the proposed method is about 60 times faster and increases the recognition success rate from 62.0% to 94.6% in comparison with the Spin Image method.
AB - We propose a high-speed 3-D object pose recognition method. The method's main feature is that a set of distinctive 3-D vector pairs, each of which consists of three different 3-D points, is used for matching process. A vector pair with a low occurrence probability of a model object means that it is distinctive not only in a model but also in an acquired image. Therefore, such vector pairs are expected to avoid false matching. Experimental results have shown that the proposed method is about 60 times faster and increases the recognition success rate from 62.0% to 94.6% in comparison with the Spin Image method.
KW - 3-D object recognition
KW - 3-D vector pair
KW - Occurrence probability
KW - Range image
UR - http://www.scopus.com/inward/record.url?scp=84884854601&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84884854601&partnerID=8YFLogxK
U2 - 10.1541/ieejeiss.133.1853
DO - 10.1541/ieejeiss.133.1853
M3 - Article
AN - SCOPUS:84884854601
VL - 133
SP - 1853
EP - 1854
JO - IEEJ Transactions on Electronics, Information and Systems
JF - IEEJ Transactions on Electronics, Information and Systems
SN - 0385-4221
IS - 9
ER -