A Study on Robust Image Matching between Images Hard to Correspond and its Application
| Project/Area Number |
21500167
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Single-year Grants |
|---|
| Section | 一般 |
|---|
| Research Field |
Perception information processing/Intelligent robotics
|
|---|
| Research Institution | Toyohashi University of Technology |
|---|
Principal Investigator |
KANAZAWA Yasushi 豊橋技術科学大学, 大学院・工学研究科, 准教授 (50214432)
|
|---|
| Project Period (FY) |
2009 – 2011
|
| Project Status |
Completed (Fiscal Year 2011)
|
| Budget Amount *help |
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2011: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2010: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2009: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
|
|---|
| Keywords | コンピュータビジョン / 画像の対応付け / 三次元復元 / 内視鏡画像 / 繰り返しパターン / 布状物体 / 特徴量 / 画像間の対応付け / 3次元復元 / 画像間の対応付 |
|---|
| Research Abstract |
In order to find correspondences between two images hard to match, we have proposed a matching method for endoscopic image of the intestine, matching method between the images including repetitive patterns. These methods are robust and accurate compared with the usual methods. As the applications of these methods, we have also proposed an extension method for the intestine CT image and its frequency analysis and a cost function for a shape reconstructed from two views. We have shown the effectiveness of these methods.
|
Report
(4 results)
Research Products
(24 results)
