3-D Shape Estimation and Image Restoration: Exploiting by Paolo Favaro

By Paolo Favaro

Within the components of picture processing and laptop imaginative and prescient, there's a specific desire for software program that may, given an unfocused or motion-blurred photo, infer the three-d form of a scene. This publication describes the analytical approaches that pass into designing such software program, delineates the choices open to programmers, and offers unique algorithms. Written for readers with pursuits in picture processing and machine imaginative and prescient and with backgrounds in engineering, technology or arithmetic, this hugely useful text/reference is out there to complicated scholars or people with a level that comes with simple linear algebra and calculus classes.

Show description

Read Online or Download 3-D Shape Estimation and Image Restoration: Exploiting Defocus and Motion-Blur PDF

Similar 3d graphics books

Essential ZBrush

Crucial ZBrush bargains a close review of the preferred electronic sculpting instrument in addition to a advisor to studying electronic sculpting. From the fundamentals of ZBrush to the construction of a couple of versions that exhibit not easy floor sculpting, realisitic natural sculpting, and environmental sculpting, this ebook offers readers with the instruments to provide top of the range electronic sculpts.

LightWave 3D 7.5 Lighting

This booklet is focused in any respect degrees of animators and visible results artists who desire to exhibit international type caliber of their laptop generated (CG) lighting fixtures environments.

Real-Time 3D Terrain Engines Using C++ and DirectX 9 (Game Development Series) (Game Development Series)

With contemporary developments in programmable 3D rendering undefined, video game builders can create engines able to making entire outdoors landscapes. a lot of cutting-edge renowned video games comprise complete open air environments, yet making those environments practical and quickly is a problem for even the simplest programmers.

Essential skills for 3D modeling, rendering, and animation

"Preface past due at evening, 1997, in a few little one-bedroom house on Lexington street, in Lexington, Kentucky, I put in my first actual 3D software program on my self-built HP home windows ninety five laptop. It had sixty four megabytes of RAM and an Intel Pentium 32 gigahertz processor. Caligari Truespace used to be an old VRML (Virtual fact Markup Language) authoring software program that I had downloaded at no cost.

Additional resources for 3-D Shape Estimation and Image Restoration: Exploiting Defocus and Motion-Blur

Example text

To summarize, we have I(y, v) = hv (y, x)r(x)dx. 4), or the pointspread function (PSF) of the optics. 1, the radius b is constant and, therefore, the function hv is shiftinvariant; that is, it depends only on the difference y−x. With an abuse of notation we write . hv (y − x) = hv (y, x). 4) is derived from a more complex quantity called radiance. A full derivation can be found in Appendix A. In the case of shape from defocus, it is not necessary to explicitly introduce radiance in the image formation model, because images are captured from the same point of view, and scene and illumination conditions are assumed static.

In the rest of this book we explore both models, and derive inference algorithms that guarantee optimality with respect to the noise model above. 10) allows us to treat Gaussian and Poisson noise in a unified manner. 9) may seem complex at first, especially for the reader not comfortable with integrals. 9) as a matrix equation, using properties of Hilbert spaces. This analogy is useful per se, and it is exploited in Chapter 4 to design reconstruction algorithms. 9) are square-integrable functions.

24) as Ω2 = {x ∈ R2 : H φ(x) = 1}. 25) We are now ready to introduce the imaging model for occlusions. 26) or, equivalently, by I(y) = R2 hs2 (y, x)H φ(x) r2 (x)dx + R2 ¯ φ( (x)) r1 (x)dx. 27) 26 2. 6. Images as heat distributions, blurred by diffusion. The radiance of an equifocal scene can be interpreted as heat on a metal plate. Diffusion causes blurring of the original distribution. 4 Modeling defocus as a diffusion process In this section we explore yet another interpretation of the image formation process that comes handy in Chapters 6 and 8.

Download PDF sample

Rated 4.51 of 5 – based on 18 votes