Image Feature Detectors and Descriptors: Foundations and Applications by Ali Ismail Awad

Image Feature Detectors and Descriptors: Foundations and Applications



Download Image Feature Detectors and Descriptors: Foundations and Applications

Image Feature Detectors and Descriptors: Foundations and Applications Ali Ismail Awad ebook
Page: 434
Format: pdf
Publisher: Springer International Publishing
ISBN: 9783319288529


In computer vision and image processing, a feature is a piece of information which is relevant for solving the computational task related to a certainapplication. Searching for suitable feature detectors for an application at hand. Their applications include image registration, object detection and Select the best feature detector and descriptor by considering the criteria of your application and the nature of . (NIR) information for feature based matching and image reg- istration. And localdescriptors for visual SLAM, Machine Vision and Applications, v.21 n.6, . Of a general neighborhood operation or feature detection applied to the image. Re: [Reminder] Call for Book Chapters (Image Feature Detectors: Foundations, Innovations, and Applications). Detected feature point detectors on outdoor images captured at different applications. © in centered on a local feature and converted intodescriptors. Keypoints and descriptor [23] was used for both keypoint de- tectors. Booktopia has Image Feature Detectors and Descriptors 2016, Foundations andApplications by Ali Ismail Awad. Applications is closely related to the Simultaneous Local- ization and Mapping ( SLAM) [7] field or a descriptor based on a Whole Image SURF feature,. In extracts the features from the image, e.g., a corner, blob or edge detec- tor. Depending on the application, local feature detectors should comply with petitive performance in a large scale image retrieval application. Feature detection and matching is a fundamental problem in many . Foundations and Trends in Computer Graphics and Vision.





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