Descrizione
This work delves into the intricate relationship between geometry and incomplete data within the fields of computer vision and image analysis. The authors, accomplished in their respective domains, bring forth a comprehensive examination of methods and techniques that enhance understanding of geometric properties when faced with data limitations.
Through a blend of mathematical rigor and practical application, the text highlights how incomplete datasets can affect the accuracy and reliability of visual interpretations. The interdisciplinary nature of the subject is underscored, emphasizing the necessity for collaboration across mathematics and engineering to devise innovative solutions for these challenges.
Through a blend of mathematical rigor and practical application, the text highlights how incomplete datasets can affect the accuracy and reliability of visual interpretations. The interdisciplinary nature of the subject is underscored, emphasizing the necessity for collaboration across mathematics and engineering to devise innovative solutions for these challenges.
Dettagli del libro
Formato
Brossura
Pagine
408 pagine
Lingua
Inglese
Pubblicato
Nov 30, 2010
Editore
Springer
Edizioni
2 editions
ISBN-10
9048169828
ISBN-13
9789048169825