Machine Learning for Computer Vision

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Cipolla, Roberto (Επιμελητής έκδοσης), Battiato, Sebastiano (Επιμελητής έκδοσης), Farinella, Giovanni Maria (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2013.
• Σειρά: Studies in Computational Intelligence, 411
• Θέματα: Engineering.; Artificial intelligence.; Image processing.; Computational intelligence.; Computational Intelligence.; Artificial Intelligence (incl. Robotics).; Image Processing and Computer Vision.

Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout. The International Computer Vision Sum...

Πίνακας περιεχομένων:

• Throwing Down the Visual Intelligence Gauntlet
• Actionable Information in Vision
• Learning Binary Hash Codes for Large-Scale Image Search
• Bayesian Painting by Numbers: Flexible Priors for Colour-Invariant Object Recognition
• Real-Time Human Pose Recognition in Parts from Single Depth Images
• Scale-Invariant Vote-based 3D Recognition and Registration from Point Clouds
• Multiple Classifier Boosting and Tree-Structured Classifiers
• Simultaneous detection and tracking with multiple cameras
• Applications of Computer Vision to Vehicles: an extreme test.