Structured learning and prediction in computer vision

S. Nowozin, C. Lampert, Foundations and Trends in Computer Graphics and Vision 6 (2011) 185–365.

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Journal Article | Published | English

Scopus indexed
Author
Nowozin, Sebastian; Lampert, ChristophIST Austria
Department
Abstract
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structure reflecting task-specific relations and constraints. This monograph introduces the reader to the most popular classes of structured models in computer vision. Our focus is discrete undirected graphical models which we cover in detail together with a description of algorithms for both probabilistic inference and maximum a posteriori inference. We discuss separately recently successful techniques for prediction in general structured models. In the second part of this monograph we describe methods for parameter learning where we distinguish the classic maximum likelihood based methods from the more recent prediction-based parameter learning methods. We highlight developments to enhance current models and discuss kernelized models and latent variable models. To make the monograph more practical and to provide links to further study we provide examples of successful application of many methods in the computer vision literature.
Publishing Year
Date Published
2011-05-23
Journal Title
Foundations and Trends in Computer Graphics and Vision
Volume
6
Issue
3-4
Page
185 - 365
IST-REx-ID

Cite this

Nowozin S, Lampert C. Structured learning and prediction in computer vision. Foundations and Trends in Computer Graphics and Vision. 2011;6(3-4):185-365. doi:10.1561/0600000033
Nowozin, S., & Lampert, C. (2011). Structured learning and prediction in computer vision. Foundations and Trends in Computer Graphics and Vision, 6(3–4), 185–365. https://doi.org/10.1561/0600000033
Nowozin, Sebastian, and Christoph Lampert. “Structured Learning and Prediction in Computer Vision.” Foundations and Trends in Computer Graphics and Vision 6, no. 3–4 (2011): 185–365. https://doi.org/10.1561/0600000033.
S. Nowozin and C. Lampert, “Structured learning and prediction in computer vision,” Foundations and Trends in Computer Graphics and Vision, vol. 6, no. 3–4, pp. 185–365, 2011.
Nowozin S, Lampert C. 2011. Structured learning and prediction in computer vision. Foundations and Trends in Computer Graphics and Vision. 6(3–4), 185–365.
Nowozin, Sebastian, and Christoph Lampert. “Structured Learning and Prediction in Computer Vision.” Foundations and Trends in Computer Graphics and Vision, vol. 6, no. 3–4, now, 2011, pp. 185–365, doi:10.1561/0600000033.
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2020-05-14
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