Variational, Geometric, and Level Set Methods in Computer Vision Third International Workshop, VLSM 2005, Beijing, China, October 16, 2005. Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Paragios, Nikos (Επιμελητής έκδοσης), Faugeras, Olivier (Επιμελητής έκδοσης), Chan, Tony (Επιμελητής έκδοσης), Schnörr, Christoph (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
• Σειρά: Lecture Notes in Computer Science, 3752
• Θέματα: Computer science.; Algorithms.; Artificial intelligence.; Computer graphics.; Image processing.; Pattern recognition.; Computer Science.; Image Processing and Computer Vision.; Computer Imaging, Vision, Pattern Recognition and Graphics.; Pattern Recognition.; Artificial Intelligence (incl. Robotics).; Algorithm Analysis and Problem Complexity.; Computer Graphics.

Mathematical methods has been a dominant research path in computational vision leading to a number of areas like ?ltering, segmentation, motion analysis and stereo reconstruction. Within such a branch visual perception tasks can either be addressed through the introduction of application-driven geom...