TY - GEN
T1 - Retrieving images of similar geometrical configuration
AU - Zhang, Xiaolong
AU - Li, Baoxin
N1 - Funding Information:
The authors were partially supported during this work by an NSF grant (Award # 0845469), which is greatly appreciated.
PY - 2010
Y1 - 2010
N2 - Content Based Image Retrieval (CBIR) has been an active research field for a long time. Existing CBIR approaches are mostly based on low- to middle-level visual cues such as color or color histograms and possibly semantic relations of image regions, etc. In many applications, it may be of interest to retrieve images of similar geometrical configurations such as all images of a hallway-like view. In this paper we present our work on addressing such a task that seemingly requires 3D reconstruction from a single image. Our approach avoids explicit 3D reconstruction, which remains to be a challenge, through coding the potential relationship between the 3D structure of an image and its low-level features via a grid-based representation. We experimented with a data set of several thousands of images and obtained promising results.
AB - Content Based Image Retrieval (CBIR) has been an active research field for a long time. Existing CBIR approaches are mostly based on low- to middle-level visual cues such as color or color histograms and possibly semantic relations of image regions, etc. In many applications, it may be of interest to retrieve images of similar geometrical configurations such as all images of a hallway-like view. In this paper we present our work on addressing such a task that seemingly requires 3D reconstruction from a single image. Our approach avoids explicit 3D reconstruction, which remains to be a challenge, through coding the potential relationship between the 3D structure of an image and its low-level features via a grid-based representation. We experimented with a data set of several thousands of images and obtained promising results.
UR - http://www.scopus.com/inward/record.url?scp=78650761193&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=78650761193&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-17274-8_44
DO - 10.1007/978-3-642-17274-8_44
M3 - Conference contribution
AN - SCOPUS:78650761193
SN - 3642172733
SN - 9783642172731
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 449
EP - 458
BT - Advances in Visual Computing - 6th International Symposium, ISVC 2010, Proceedings
T2 - 6th International, Symposium on Visual Computing, ISVC 2010
Y2 - 29 November 2010 through 1 December 2010
ER -