A Study on Global Motion Estimation using Histogram and Weight Map
- Title
- A Study on Global Motion Estimation using Histogram and Weight Map
- Authors
- 공경보
- Date Issued
- 2017
- Publisher
- 포항공과대학교
- Abstract
- This thesis present a compressed-domain global motion estimation (GME) algorithm that detects global motion change without using an iterative process. Conventional GME algorithms based on the gradient descent and least square approaches are usually accurate and powerful, but are inaccurate in various rate of outliers. Also, these algorithms use an iterative approach, which has a high computational load. To robust the rate of outliers and speed up the GME, this thesis proposes a non-iterative algorithm that exploits an outlier rejection mask and wight map. In simulations the proposed algorithm had highest estimation accuracy and had fastest processing time.
- URI
- http://postech.dcollection.net/jsp/common/DcLoOrgPer.jsp?sItemId=000002331402
https://oasis.postech.ac.kr/handle/2014.oak/93319
- Article Type
- Thesis
- Files in This Item:
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