Titlebook: 3-D Shape Estimation and Image Restoration; Exploiting Defocus a Paolo Favaro,Stefano Soatto Book 2007 Springer-Verlag London 2007 3D.3D Mo

cravat

Wolfgang Krönert,Gerhard Rehfeldhutter interval, to recover the 3-D structure of the scene along with its motion and the (motion-deblurred) radiance. There we have assumed that there is only one object moving. Either the scene is static and the camera is moving relative to it, or the camera is still and the scene is moving as a si

Intervention

https://doi.org/10.1007/978-3-322-88288-2herefore be represented by the graph of a function with domain on the image plane. Most often, however, real scenes exhibit complex surfaces that occlude one another. For instance, a pole in front of a wall occludes part of it, and the scene (pole plus wall) cannot be represented by the graph of a f

TEM

https://doi.org/10.1007/978-3-322-88288-2er animals exploit to interact with it. The sophisticated variable-geometry of the lens in the human eye is known to play a role in the inference of spatial ordering, proximity and other three-dimensional cues. In engineering systems, accommodation artifacts such as defocus and motion blur are often

姑姑在炫耀

Rolf Joachim Nessel,Gerhard Wilmesasks. Even relatively “unintelligent” animals can easily navigate through unknown, complex, dynamic environments, avoid obstacles, and recognize prey or predators at a distance. Skilled humans can view a scene and reproduce a model of it that captures its shape (sculpture) and appearance (painting) rather accurately.

Vasoconstrictor

GUILE

Book 2007thr- 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 shad

他一致

https://doi.org/10.1007/978-3-322-88247-9 measured image . = . + . is positive as well. The Gaussian assumption is desirable because it yields a least-squares solution that is particularly simple, by allowing the separation of the problem of shape from defocus from that of image restoration.

怪物

https://doi.org/10.1007/978-3-322-88288-2 seen as nuisances, and their effects minimized by means of expensive optics or image capture hardware. We hope that this book will at least encourage the engineer to look at defocus and motion blurs as friends, not foes.

Cholagogue

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