|
JAIST Repository >
School of Information Science >
Conference Papers >
Conference Papers >
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10119/18172
|
| Title: | Performance Enhancement Step for Motion Estimation via Feature-based Image Matching |
| Authors: | Miyaura, Keita
ELIBOL, Armagan
Nak-Young, Chong |
| Keywords: | image matching
motion estimation
outlier rejection |
| Issue Date: | 2022-11 |
| Publisher: | Institute of Control, Robotics and Systems (ICROS) |
| Magazine name: | 2022 22nd International Conference on Control, Automation and Systems (ICCAS) |
| Start page: | 1161 |
| End page: | 1166 |
| DOI: | 10.23919/ICCAS55662.2022.10003731 |
| Abstract: | Most of the complicated and sophisticated tasks in visual robotics applications usually build upon the image matching step as matching images of the same scene can provide important information (e.g., camera motion). Image matching is generally done via extracting and matching some distinctive points via their feature vectors. This procedure generates some mismatched points due to imperfections. Mismatched points are called outliers and identified via probabilistic methods. Since the probabilistic methods work iteratively, they generally occupy a large portion of the computational cost of the whole image matching pipeline. In this paper, we present a simple yet efficient algorithm that is employed for eliminating the outliers aiming at reducing the total number of iterations needed in the probabilistic methods. Our method is motivated by the common way of visualizing the established matches among images. We tile images together and search for parallel lines connecting correspondences. We present extensive computational and comparative experiments using both simulated data involving along with real images and using a real dataset. |
| Rights: | This is the author's version of the work. Copyright (C)ICROS. 2022 22nd International Conference on Control, Automation and Systems (ICCAS 2022), 2022, pp.1161-1166. DOI:10.23919/ICCAS55662.2022.10003731. Personal use of this material is permitted.This material is posted here with permission of Institute of Control, Robotics and Systems (ICROS). |
| URI: | http://hdl.handle.net/10119/18172 |
| Material Type: | author |
| Appears in Collections: | b11-1. 会議発表論文・発表資料 (Conference Papers)
|
Files in This Item:
| File |
Description |
Size | Format |
|---|
| MotEst_ICCAS2022.pdf | | 1661Kb | Adobe PDF | View/Open |
|
All items in DSpace are protected by copyright, with all rights reserved.
|
