TY - GEN
T1 - Object orientation estimation for high speed 3D object retrieval system
AU - Sintunata, Vicky
AU - Aoki, Terumasa
PY - 2016/9/19
Y1 - 2016/9/19
N2 - A 3D object retrieval system is one of the most difficult system to archive. If 3D model can be used as a query to the retrieval system, it will become less difficult. Unfortunately, creating 3D model is not a trivial task. Usually, users have only 2D images (photos, sketches, etc.) as query images for the retrieval system. In the past, the query images will then have to be compared with every image in the database. In this paper, we propose a new method by utilizing the skewness of the image, so that the system does not have to compare every image in the database. The skewness values will be used to generate contour maps of the object skewness data. By utilizing these skewness (contour) maps, the position of the image in the database can be extracted. Furthermore, the rotational degree (orientation) of the object can be approximated. This is done by simply using a simple thresholding method. The results of the proposed method are compared with the traditional SURF method. It shows that the proposed method is 25 times faster than the traditional SURF method when comparing the images.
AB - A 3D object retrieval system is one of the most difficult system to archive. If 3D model can be used as a query to the retrieval system, it will become less difficult. Unfortunately, creating 3D model is not a trivial task. Usually, users have only 2D images (photos, sketches, etc.) as query images for the retrieval system. In the past, the query images will then have to be compared with every image in the database. In this paper, we propose a new method by utilizing the skewness of the image, so that the system does not have to compare every image in the database. The skewness values will be used to generate contour maps of the object skewness data. By utilizing these skewness (contour) maps, the position of the image in the database can be extracted. Furthermore, the rotational degree (orientation) of the object can be approximated. This is done by simply using a simple thresholding method. The results of the proposed method are compared with the traditional SURF method. It shows that the proposed method is 25 times faster than the traditional SURF method when comparing the images.
KW - 3D Object Retrieval
KW - Bicubic Interpolation
KW - Databases
KW - Object Orientation
KW - Skewness
UR - http://www.scopus.com/inward/record.url?scp=84992111861&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84992111861&partnerID=8YFLogxK
U2 - 10.1109/ICoICT.2016.7571933
DO - 10.1109/ICoICT.2016.7571933
M3 - Conference contribution
AN - SCOPUS:84992111861
T3 - 2016 4th International Conference on Information and Communication Technology, ICoICT 2016
BT - 2016 4th International Conference on Information and Communication Technology, ICoICT 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th International Conference on Information and Communication Technology, ICoICT 2016
Y2 - 25 May 2016 through 27 May 2016
ER -