Ricardo Fabbri
Basic Info
- PhD Student in Computer Engineering, at LEMS, Brown University, sponsored by CNPq.
- Advisor: prof. Benjamin Kimia
- Master in Computer Science, USP at Sao Carlos, Brazil
- Bsc. Computer Science, USP at Sao Carlos, Brazil
Research abstract
I currently work 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.
Publications
- R. Fabbri, O. M. Bruno, J. C. Torelli, L. da F. Costa "2D Euclidean Distance Transform Algorithms: A Comparative
Survey", ACM Computing Surveys, Feb 2008. (pdf | bib | errata)
- Supplementary material and source code: distance.sf.net
-
R. Fabbri, B. B. Kimia, "High-Order Differential geometry of Curves for
Multiview Reconstruction and Matching", EMMCVPR 2005, Lecture Notes in Computer
Science, 3757, pp. 645-660, 2005. (original | corrected version)
- Theoretical paper on recovering torsion and curvature derivative of a space curve from multiple perspectives
- The formulas in the original paper have some minor imprecisions regarding the sign of the curvature. The corrected version fixes this issue.
- I wrote extensions of the formulas that take into account the intrinsic parameters. They show how the image point, tangent, curvature, and curvature derivative change under the transformation given by the intrinsic parameter matrix K.
- I implemented the formulas of this paper in a curve reconstruction system, just drop me an email and I will provide you with the code.
- R. Fabbri, L. F. Estrozi, L. da F. Costa, "On Voronoi Diagrams and Medial
Axes", Journal of Mathematical Imaging and Vision, 17(1), 27-40, july
2002.
- This was my first journal paper.
Research and study material
- Summary of multiple view geometry as in Hartley's book (pdf | ppt)
- Obsolete Work Home Page
Software
- VxL C++ Computer vision libraries. This is what we use here at Brown.
- SIP: Image processing toolbox for Scilab, similar to Matlab but with absolute freedom
- Hotreference.com: build your own searchable bibliography database online, with lots of storage space; Bibtex/doc export. Discuss you favorite paper with other users. All free (the site is by a very good friend of mine)
- Gentoo Linux: an excellent OS for computer scientists and experienced users.
Photo album
Ask me by email for a username and password to access my album HERE
