Learning to Efficiently Detect Repeatable Interest Points in Depth Data

Stefan M. Holzer; Jamie Shotton; Pushmeet Kohli

doi:10.1007/978-3-642-33718-5_15

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Learning to Efficiently Detect Repeatable Interest Points in Depth Data

Stefan M. Holzer Jamie Shotton Pushmeet Kohli

Year: 2012 Lecture notes in computer science Pages: 200-213 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-33718-5_15

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Keywords:

Computer science Artificial intelligence Computer vision RGB color model Point (geometry) Range (aeronautics) Repeatability Region of interest Machine learning Mathematics

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Topics

Robotics and Sensor-Based Localization

Physical Sciences → Engineering → Aerospace Engineering

Advanced Vision and Imaging

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Learning to Efficiently Detect Repeatable Interest Points in Depth Data

Metrics

Citation History

Topics

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