Sketch-based 3D object retrieval
| Project/Area Number |
25880013
|
|---|
| Research Category |
Grant-in-Aid for Research Activity Start-up
|
| Allocation Type | Single-year Grants |
|---|
| Research Field |
Multimedia database
|
|---|
| Research Institution | Toyohashi University of Technology |
|---|
Principal Investigator |
ATSUSHI Tatsuma 豊橋技術科学大学, 工学(系)研究科(研究院), 助教 (60711166)
|
|---|
| Project Period (FY) |
2013-08-30 – 2015-03-31
|
| Project Status |
Completed (Fiscal Year 2014)
|
| Budget Amount *help |
¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2013: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
|
|---|
| Keywords | マルチメディア検索 / 情報検索 / 三次元物体 / スケッチ画像 / 特徴抽出 / 二次元スケッチ画像 / データベース |
|---|
| Outline of Final Research Achievements |
With the diffusion of 3D model authoring software into various fields such as manufacturing, entertainment, and medical simulation, the number of 3D models stored in digital repositories has been growing explosively. Therefore, there is a need for a shape-based 3D model retrieval system. In this research, we have investigated techniques of sketch-based 3D model retrieval system to develop the retrieval system that has an intuitive and user-friendly interface. During the research period, we have developed as follows; (1) feature extraction method based on analyzing the intensity gradients of the image cells which are obtained by overlapped decomposition of the image, (2) dissimilarity calculation method based on capturing the nonlinear structure of data distribution in the feature space of 3D models, and (3) demonstration system of sketch-based 3D model retrieval which runs on the web browser.
|
Report
(3 results)
Research Products
(21 results)
-
[Journal Article] A comparison of 3D shape retrieval methods based on a large-scale benchmark supporting multimodal queries2015
Author(s)
B. Li, Y. Lu, C. Li, A. Godil, T. Schreck, M. Aono, M. Burtscher, Q. Chen, N. Chowdhury, B. Fang, H. Fu, T. Furuya, H. Li, J. Liu, H. Johan, R. Kosaka, H. Koyanagi, R. Ohbuchi, A. Tatsuma, Y. Wan, C. Zhang, C. Zou
-
Journal Title
Computer Vision and Image Understanding
Volume: 131
Pages: 1-27
DOI
Related Report
Peer Reviewed
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
-
