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| Title: | Topology Graph Pruning for Optical Mapping Methods using Edge Betweenness Centrality |
| Authors: | ELIBOL, Armagan
Nak-Young, Chong |
| Issue Date: | 2019-07 |
| Publisher: | Institute of Electrical and Electronics Engineers (IEEE) |
| Magazine name: | 2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM) |
| Start page: | 954 |
| End page: | 959 |
| DOI: | 10.1109/ICARM.2019.8833633 |
| Abstract: | Optical mapping is one of the most widely used
application areas of low-cost robotic platforms. These platforms are in favor as they are relatively easy to use, to operate and to maintain. Acquired optical data (in the form of video and/or image) are valuable sources of information for both online
(e.g., navigation, localization, mapping, and others) and offline processes (scientific interpretations, change detection, mapping,
and others). The amount of data acquired has been continuously growing thanks to the emerging capabilities of mobile platforms
in terms of autonomy allowing longer surveying time. This increases the need for fast and efficient methods to process the obtained data. Creating optical 2D maps from acquired data is composed of mainly image matching, trajectory estimation (Global Alignment (GA)) and image blending steps. In this paper, we discuss the usage of Edge Betweenness Centrality (EBC) concept to reduce the total number of overlapping image pairs to be used in the GA step. EBC allows selecting the image
pairs that play a relatively key role in the topology graph. We also discuss the usage of graph energy as a decision criterion during image mosaicing iterations. We present experiments with several datasets to show the performance of the proposed method. |
| Rights: | This is the author's version of the work. Copyright (C) 2019 IEEE. 2019 IEEE 4th International Conference on Advanced Robotics and Mechatronics (ICARM), 2019, 954-959. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| URI: | http://hdl.handle.net/10119/17572 |
| Material Type: | author |
| Appears in Collections: | b11-1. 会議発表論文・発表資料 (Conference Papers)
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| ICARM19_AE.pdf | | 802Kb | Adobe PDF | View/Open |
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