Logo

Computer Vision: Models, Learning, and Inference

Large book cover: Computer Vision: Models, Learning, and Inference

Computer Vision: Models, Learning, and Inference
by

Publisher: Cambridge University Press
ISBN/ASIN: 1107011795
ISBN-13: 9781107011793
Number of pages: 665

Description:
This modern treatment of computer vision focuses on learning and inference in probabilistic models as a unifying theme. It shows how to use training data to learn the relationships between the observed image data and the aspects of the world that we wish to estimate, such as the 3D structure or the object class, and how to exploit these relationships to make new inferences about the world from new image data.

Home page url

Download or read it online for free here:
Download link
(105MB, PDF)

Similar books

Book cover: Image SegmentationImage Segmentation
by - InTech
The objective of the image segmentation is to simplify the representation of pictures into meaningful information by partitioning into image regions. Image segmentation is a technique to locate certain objects or boundaries within an image.
(7190 views)
Book cover: Computer Vision: Algorithms and ApplicationsComputer Vision: Algorithms and Applications
by - Springer
The book emphasizes basic techniques that work under real-world conditions, not the esoteric mathematics without practical applicability. The text is suitable for a senior-level undergraduates in computer science and electrical engineering.
(20073 views)
Book cover: Object Detection in Real ImagesObject Detection in Real Images
by - arXiv
We propose a new object detection/recognition method, which improves over the existing methods in every stage of the object detection/recognition process. In addition to the usual features, we propose to use geometric shapes as additional features.
(4530 views)
Book cover: Natural Image StatisticsNatural Image Statistics
by - Springer
Introductory textbook and a research monograph on modelling the statistical structure of natural images. The statistical structure of natural images is described using a number of statistical models whose parameters are estimated from image samples.
(7316 views)