3-D Shape Estimation and Image Restoration

Exploiting Defocus and Motion-Blur

Inbunden, Engelska, 2006

AvPaolo Favaro,Stefano Soatto

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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.

Produktinformation

Utgivningsdatum2006-12-29
Mått155 x 235 x 20 mm
Vikt565 g
FormatInbunden
SpråkEngelska
Antal sidor249
Upplaga2007
FörlagSpringer London Ltd
ISBN9781846281761

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Systemvetenskap och AI inom Data och IT

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.

"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)