Ricardo Fabbri

Basic Info

Research abstract

My interests related to my PhD research deal with computer vision using multiple images of the same scene (as acquired by a camera in different positions, systems of multiple cameras, or video). This is useful for automating recognition, location, and measurement of 3D objects from images, 3D photography, etc. I am concerned with devising robust, precise and automatic methods for tackling problems in this area. In order to meet such requirements, I explore the use of grouped primitives such as curves and their differential geometry as the basis for the methods. I believe this is a much more powerful approach to solve multiview problems than the traditional one which relies on point primitives. I have been recently working on fusing a number of cues for 3D reconstruction. The end-goal is a system based on a hand-held video sequence, without need for calibration or textured regions, being able to identify not only the 3D structure of objects, but also the camera position, the reflectance properties, and lighting conditions as well. More information is provided in the following link:

Interests

Other areas I have interests in: automated analysis of biological images, complex networks, singularity theory, pattern recognition, machine learning, design of algorithms (using geometry or for solving geometry problems), theory of computation, applied distributed systems, 2D and 3D shape and image databases, open source software. I also research other topics: the zeros of the Riemann zeta function, the curious fact that any even number seems to be the sum of two primes, whether there is a chance P could really be NP, whether solutions to 3D Navier-Stokes always exist and are smooth, and whether every Hodge class on a complex projective manifold is a linear combination with rational coefficients of the cohomology classes of complex subvarieties of the manifold. These will likely be solved by the time computers start seeing, so they might be useful intermediate steps :)

Publications

There are a number of my earlier conference works that are not listed here.

Software

Research and study material

Teaching

Email

my email address

Photo album

Ask me by email for a username and password to access my album HERE

Curriculum Vitae

Lattes Platform, Google Scholar

Blog

Here

My Social Network Profiles

Orkut | Facebook

Links

My brother's sonic compositions

Renato Fabbri

Beautiful Sea Shells

www.shellworldflkeys.com

Some Comics and Animations by my Cousin and Friends

Pula Pirata Website

No to Microsoft's OOXML/DOCX

www.noooxml.org

Home Pages of Other PhD Students at LEMS

Curiosities

Do the vertical borders of this page look strange to you? They are exactly the same gradients, reflected vertically. On their own, they should look convex or concave. But your brain is hypothesizing a global light source, and both bars can't be both convex and consistent with the same light source. There are also biases in direction - the brain tends to favor certain directions for the light source over others. As you might know, this is the convex concave crater illusion, and is related to the hollow-face illusion.