3-D Shape Estimation and Image Restoration
Exploiting Defocus and Motion-Blur
(Sprache: Englisch)
In the areas of image processing and computer vision, there is a particular need for software that can infer the three-dimensional shape of a scene. This book describes the analytical processes that go into designing such software. It also presents original algorithms.
Voraussichtlich lieferbar in 3 Tag(en)
versandkostenfrei
Buch (Kartoniert)
55.00 €
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „3-D Shape Estimation and Image Restoration “
In the areas of image processing and computer vision, there is a particular need for software that can infer the three-dimensional shape of a scene. This book describes the analytical processes that go into designing such software. It also presents original algorithms.
Klappentext zu „3-D Shape Estimation and Image Restoration “
Images contain information about the spatial properties of the scene they depict. When coupled with suitable assumptions, images can be used to infer thr- dimensional information. For instance, if the scene contains objects made with homogeneous material, such as marble, variations in image intensity can be - sociated with variations in shape, and hence the "shading" in the image can be exploited to infer the "shape" of the scene (shape from shading). Similarly, if the scene contains (statistically) regular structures, variations in image intensity can be used to infer shape (shape from textures). Shading, texture, cast shadows, - cluding boundaries are all "cues" that can be exploited to infer spatial properties of the scene from a single image, when the underlying assumptions are sat- ?ed. In addition, one can obtain spatial cues from multiple images of the same scene taken with changing conditions. For instance, changes in the image due to a moving light source are used in "photometric stereo," changes in the image due to changes in the position of the cameras are used in "stereo," "structure from motion," and "motion blur. " Finally, changes in the image due to changes in the geometry of the camera are used in "shape from defocus. " In this book, we will concentrate on the latter two approaches, motion blur and defocus, which are referred to collectively as "accommodation cues.
Inhaltsverzeichnis zu „3-D Shape Estimation and Image Restoration “
Basic models of image formation.- Some analysis: When can 3-D shape be reconstructed from blurred images?.- Least-squares shape from defocus.- Enforcing positivity: Shape from defocus and image restoration by minimizing I-divergence.- Defocus via diffusion: Modeling and reconstruction.- Dealing with motion: Unifying defocus and motion blur.- Dealing with multiple moving objects.- Dealing with occlusions.- Final remarks.
Autoren-Porträt von Paolo Favaro, Stefano Soatto
Images contain information about the spatial properties of the scene they depict. When coupled with suitable assumptions, images can be used to infer three-dimensional information. This useful volume concentrates on motion blur and defocus, which can be exploited to infer the 3-D structure of a scene as well as its radiance properties and which in turn can be used to generate novel images with better quality. The book presents a coherent analytical framework for the analysis and design of algorithms to estimate 3-D shape from defocused and motion blurred images, and to eliminate defocus and motion blur to yield "restored" images. It further provides a collection of algorithms that are optimal with respect to the chosen model and estimation criterion.
Bibliographische Angaben
- Autoren: Paolo Favaro , Stefano Soatto
- 2013, XIV, 249 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1849965595
- ISBN-13: 9781849965590
Sprache:
Englisch
Rezension zu „3-D Shape Estimation and Image Restoration “
"This book presents a framework for estimating three-dimensional (3D) shapes from defocused and motion-blurred images. The book systematically describes various problems involved in estimating 3D shapes, and provides solutions to these problems... The book is well-written, and is equipped with Matlab code that implements the estimators presented in the chapters... I recommend this book to engineers in image processing and computer vision. Readers will learn state-of-the-art methods for shape restoration." (Hsun-Hsien Chang, ACM Computing Reviews, Vol. 49 (9), September 2008)
Pressezitat
"This book presents a framework for estimating three-dimensional (3D) shapes from defocused and motion-blurred images. The book systematically describes various problems involved in estimating 3D shapes, and provides solutions to these problems... The book is well-written, and is equipped with Matlab code that implements the estimators presented in the chapters... I recommend this book to engineers in image processing and computer vision. Readers will learn state-of-the-art methods for shape restoration." (Hsun-Hsien Chang, ACM Computing Reviews, Vol. 49 (9), September 2008)
Kommentar zu "3-D Shape Estimation and Image Restoration"
Schreiben Sie einen Kommentar zu "3-D Shape Estimation and Image Restoration".
Kommentar verfassen