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Review

Place Recognition: An Overview of Vision Perspective

1
College of Computer and Information Engineering, Xiamen University of Technology, Xiamen 361024, Fujian, China
2
School of Science and Technology, Zhejiang International Studies University, Hangzhou 310023, Zhejiang, China
3
School of Computer Science, Hangzhou Dianzi University, Hangzhou 310018, Zhejiang, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2018, 8(11), 2257; https://doi.org/10.3390/app8112257
Submission received: 14 October 2018 / Revised: 30 October 2018 / Accepted: 31 October 2018 / Published: 15 November 2018
(This article belongs to the Special Issue Advanced Intelligent Imaging Technology)

Abstract

Place recognition is one of the most fundamental topics in the computer-vision and robotics communities, where the task is to accurately and efficiently recognize the location of a given query image. Despite years of knowledge accumulated in this field, place recognition still remains an open problem due to the various ways in which the appearance of real-world places may differ. This paper presents an overview of the place-recognition literature. Since condition-invariant and viewpoint-invariant features are essential factors to long-term robust visual place-recognition systems, we start with traditional image-description methodology developed in the past, which exploits techniques from the image-retrieval field. Recently, the rapid advances of related fields, such as object detection and image classification, have inspired a new technique to improve visual place-recognition systems, that is, convolutional neural networks (CNNs). Thus, we then introduce the recent progress of visual place-recognition systems based on CNNs to automatically learn better image representations for places. Finally, we close with discussions and mention of future work on place recognition.
Keywords: place recognition; Convolutional Neural Network; feature extraction; bag-of-visual words (BoW); vector of locally aggregated descriptors (VLAD) place recognition; Convolutional Neural Network; feature extraction; bag-of-visual words (BoW); vector of locally aggregated descriptors (VLAD)

Share and Cite

MDPI and ACS Style

Zeng, Z.; Zhang, J.; Wang, X.; Chen, Y.; Zhu, C. Place Recognition: An Overview of Vision Perspective. Appl. Sci. 2018, 8, 2257. https://doi.org/10.3390/app8112257

AMA Style

Zeng Z, Zhang J, Wang X, Chen Y, Zhu C. Place Recognition: An Overview of Vision Perspective. Applied Sciences. 2018; 8(11):2257. https://doi.org/10.3390/app8112257

Chicago/Turabian Style

Zeng, Zhiqiang, Jian Zhang, Xiaodong Wang, Yuming Chen, and Chaoyang Zhu. 2018. "Place Recognition: An Overview of Vision Perspective" Applied Sciences 8, no. 11: 2257. https://doi.org/10.3390/app8112257

APA Style

Zeng, Z., Zhang, J., Wang, X., Chen, Y., & Zhu, C. (2018). Place Recognition: An Overview of Vision Perspective. Applied Sciences, 8(11), 2257. https://doi.org/10.3390/app8112257

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