The process for the comparison of two sets of keypoints coming from two different images or video frames. The process compares the description of each keypoint of the first image (or frame) with each keypoint of the second image (or frame). A rank algorithm establishes a list of the best matching between them. This process is used to check the bi-univocal correspondence between the keypoints of two similar or overlapped images (or frames).
Published in Chapter:
Mobile Applications for Automatic Object Recognition
Danilo Avola (University of Udine, Italy),
Gian Luca Foresti (Department of Mathematics and Computer Science, University of Udine, Italy),
Claudio Piciarelli (University of Udine, Italy),
Marco Vernier (University of Udine, Italy), and
Luigi Cinque (Sapienza University, Italy)
Copyright: © 2018
|Pages: 12
DOI: 10.4018/978-1-5225-2255-3.ch538
Abstract
In recent years, the technological improvements of mobile devices in terms of computational capacity, embedded sensors, natural interaction and high-speed connection are enabling an ever-increasing number of designers to develop advanced mobile applications to be used in everyday life. Among these, the vision based applications for the Automatic Object Recognition (AOR) play a key role since enable users to interact with the world around them in innovative way that makes more productive and profitable their entertainment, learning and working activities. The proposed chapter is divided into four sections. The first one, Background, explores the most recent works in AOR mobile applications highlighting the feature extraction processes and the implemented classifiers. The second one, MV Development Technologies, provides an overview of the current frameworks used to support the mobile AOR applications. The third one, Future Research Trends, discusses the aims of the next generation of AOR applications. Finally, Conclusion, concludes the chapter.