Place recognition: An Overview of Vision Perspective

Place recognition is one of the most fundamental topics in computer vision and robotics communities, where the task is to accurately and efficiently recognize the location of a given query image. Despite years of wisdom 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 system, We start with traditional image description methodology developed in the past, which exploit techniques from 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 system, i.e., convolutional neural networks (CNNs). Thus we then introduce recent progress of visual place recognition system based on CNNs to automatically learn better image representations for places. Eventually, we close with discussions and future work of place recognition.Comment: Applied Sciences (2018

Theoretical Framework of Empirical Study on Consumer Behavior in Web-Based Commerce

Web-based commerce has brought great challenges and opportunities to companies. To seize the opportunities, the company must work out well-conceived web-based marketing strategy, which, to great extent, relies on the good understanding of consumer behavior in web-based commerce. Based on general theoretical framework of study on consumer behavior and current achievement in this area both oversea and home, the theoretical framework of empirical study on consumer behavior in web-based commerce is put forth. In this theoretical framework, two dependent variables is determined as unplanned purchase and customers’ intention to return, which are affected by two attitudinal variables, i.e. perceived control and shopping enjoyment. The two attitudinal variables are also affected by individual factors and web store factors, which also contain certain sub-factors. At the end of this paper, some suggestions on further study in this field are brought forward as well