Abstract
Camera view invariant 3-D object retrieval is an important issue in many traditional and emerging applications such as security, surveillance, computer-aided design (CAD), virtual reality, and place recognition. One straightforward method for camera view invariant 3-D object retrieval is to consider all the possible camera views of 3-D objects. However, capturing and maintaining such views require an enormous amount of time and labor. In addition, all camera views should be indexed for reasonable retrieval performance, which requires extra storage space and maintenance overhead. In the case of shape-based 3-D object retrieval, such overhead could be relieved by considering the symmetric shape feature of most objects. In this paper, we propose a new shape-based indexing and matching scheme of real or rendered 3-D objects for camera view invariant object retrieval. In particular, in order to remove redundant camera views to be indexed, we propose a camera view skimming scheme, which includes: i) mirror shape pairing and ii) camera view pruning according to the symmetrical patterns of object shapes. Since our camera view skimming scheme considerably reduces the number of camera views to be indexed, it could relieve the storage requirement and improve the matching speed without sacrificing retrieval accuracy. Through various experiments, we show that our proposed scheme can achieve excellent performance.
| Original language | English |
|---|---|
| Pages (from-to) | 7-29 |
| Number of pages | 23 |
| Journal | Multimedia Tools and Applications |
| Volume | 47 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 2010 Mar 1 |
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Keywords
- 3-D object retrieval
- Camera view invariant
- Camera view skimming
- Distance curve
- Shape-based indexing
ASJC Scopus subject areas
- Media Technology
- Hardware and Architecture
- Computer Networks and Communications
- Software
Cite this
Shape-based indexing scheme for camera view invariant 3-D object retrieval. / Kim, Hyong Joong; Tak, Yoon Sik; Hwang, Een Jun.
In: Multimedia Tools and Applications, Vol. 47, No. 1, 01.03.2010, p. 7-29.Research output: Contribution to journal › Article
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TY - JOUR
T1 - Shape-based indexing scheme for camera view invariant 3-D object retrieval
AU - Kim, Hyong Joong
AU - Tak, Yoon Sik
AU - Hwang, Een Jun
PY - 2010/3/1
Y1 - 2010/3/1
N2 - Camera view invariant 3-D object retrieval is an important issue in many traditional and emerging applications such as security, surveillance, computer-aided design (CAD), virtual reality, and place recognition. One straightforward method for camera view invariant 3-D object retrieval is to consider all the possible camera views of 3-D objects. However, capturing and maintaining such views require an enormous amount of time and labor. In addition, all camera views should be indexed for reasonable retrieval performance, which requires extra storage space and maintenance overhead. In the case of shape-based 3-D object retrieval, such overhead could be relieved by considering the symmetric shape feature of most objects. In this paper, we propose a new shape-based indexing and matching scheme of real or rendered 3-D objects for camera view invariant object retrieval. In particular, in order to remove redundant camera views to be indexed, we propose a camera view skimming scheme, which includes: i) mirror shape pairing and ii) camera view pruning according to the symmetrical patterns of object shapes. Since our camera view skimming scheme considerably reduces the number of camera views to be indexed, it could relieve the storage requirement and improve the matching speed without sacrificing retrieval accuracy. Through various experiments, we show that our proposed scheme can achieve excellent performance.
AB - Camera view invariant 3-D object retrieval is an important issue in many traditional and emerging applications such as security, surveillance, computer-aided design (CAD), virtual reality, and place recognition. One straightforward method for camera view invariant 3-D object retrieval is to consider all the possible camera views of 3-D objects. However, capturing and maintaining such views require an enormous amount of time and labor. In addition, all camera views should be indexed for reasonable retrieval performance, which requires extra storage space and maintenance overhead. In the case of shape-based 3-D object retrieval, such overhead could be relieved by considering the symmetric shape feature of most objects. In this paper, we propose a new shape-based indexing and matching scheme of real or rendered 3-D objects for camera view invariant object retrieval. In particular, in order to remove redundant camera views to be indexed, we propose a camera view skimming scheme, which includes: i) mirror shape pairing and ii) camera view pruning according to the symmetrical patterns of object shapes. Since our camera view skimming scheme considerably reduces the number of camera views to be indexed, it could relieve the storage requirement and improve the matching speed without sacrificing retrieval accuracy. Through various experiments, we show that our proposed scheme can achieve excellent performance.
KW - 3-D object retrieval
KW - Camera view invariant
KW - Camera view skimming
KW - Distance curve
KW - Shape-based indexing
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U2 - 10.1007/s11042-009-0404-7
DO - 10.1007/s11042-009-0404-7
M3 - Article
AN - SCOPUS:76849110604
VL - 47
SP - 7
EP - 29
JO - Multimedia Tools and Applications
JF - Multimedia Tools and Applications
SN - 1380-7501
IS - 1
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