JOURNAL ARTICLE

Indoor image matching algorithm based on improved SIFT algorithm

Libiao ZhangYuqing LiuChengqi ZhangBin ZhangMeiyi Ge

Year: 2020 Journal:   IOP Conference Series Materials Science and Engineering Vol: 768 (5)Pages: 052131-052131   Publisher: IOP Publishing

Abstract

Abstract Aiming at the indoor positioning by using SIFT algorithm, because the structure information is more or similar, and there is no obvious identification, which will lead to low accuracy and poor applicability, this paper proposes an improved SIFT algorithm for image matching. Choosing Junction feature which is more suitable for indoor structure, and combining with the improved CPW energy function method to eliminate mismatching points. By testing the actual image to compare and analyze get the feasibility and validity of the new algorithm.

Keywords:
Scale-invariant feature transform Algorithm Matching (statistics) Computer science Image (mathematics) Identification (biology) Blossom algorithm Artificial intelligence Feature (linguistics) Feature matching Function (biology) Energy (signal processing) Image matching Pattern recognition (psychology) Computer vision Mathematics

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Topics

Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Indoor and Outdoor Localization Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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