Advanced Topics in Computer Vision

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Farinella, Giovanni Maria (Επιμελητής έκδοσης), Battiato, Sebastiano (Επιμελητής έκδοσης), Cipolla, Roberto (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: London : Springer London : Imprint: Springer, 2013.
• Σειρά: Advances in Computer Vision and Pattern Recognition,
• Θέματα: Computer science.; Computer graphics.; Computer Science.; Computer Imaging, Vision, Pattern Recognition and Graphics.

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.  This unique text/reference presents...

Πίνακας περιεχομένων:

• Visual Features: From Early Concepts to Modern Computer Vision
• Where Next in Object Recognition and How Much Supervision Do We Need?
• Recognizing Human Actions by Using Effective Codebooks and Tracking
• Evaluating and Extending Trajectory Features for Activity Recognition
• Co-Recognition of Images and Videos: Unsupervised Matching of Identical Object Patterns and its Applications
• Stereo Matching: State-of-the-Art and Research Challenges
• Visual Localization for Micro Aerial Vehicles in Urban Outdoor Environments
• Moment Constraints in Convex Optimization for Segmentation and Tracking
• Large Scale Metric Learning for Distance-Based Image Classification on Open Ended Data Sets
• Top-Down Bayesian Inference of Indoor Scenes
• Efficient Loopy Belief Propagation Using the Four Color Theorem
• Boosting k-Nearest Neighbors Classification
• Learning Object Detectors in Stationary Environments
• Video Temporal Super-Resolution Based on Self-Similarity.