Top Banner
FEEC - School of Electrical and Computer Engineering Technical Presentation - Overview Leonardo Marques Rocha
7

Technical_overview

Apr 12, 2017

Download

Documents

Leonardo Rocha
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: Technical_overview

FEEC - School of Electrical and Computer Engineering

Technical Presentation - OverviewLeonardo Marques Rocha

Page 2: Technical_overview

FEEC - School of Electrical and Computer Engineering

PhD student (2004-2008)- Expected graduation at December 17th- School of Electrical and Computer Engineering – Unicamp- Research area: Data Clustering

MSc degree (2001-2002)- Institute of Computing – Unicamp- Research area: Visualization of 3D images

Bachelor degree (1995-2000)- Department of Electrical Engineering – UFC- Research area: High-perfomance computing

Page 2

Background information

Education

Page 3: Technical_overview

FEEC - School of Electrical and Computer Engineering

Background information

Page 3

TOSHIBA/eiTV/Unicamp (2006-2007)- Design of a setup box the Brazilian

Digital TV Intel/OverPlay/Unicamp (2005-2006)

- Design of a 3D engine for Intel PDAs SBTVD/UNICAMP (2005)

- DSP port of H.264 video codec for Brazilian Digital TV

FAPESP Technical Training (TT5) (2002-2003)- Development of a 3D visualization

software (3D MR images)

Microsoft Research, Redmond (2009)- Research in 3D video

CNPq/UCSB (2008)- Split program at University of California,

Santa Barbara CNPq/Unicamp (2004-2008)

- Research in Data Clustering applied to Images

Capes/Unicamp (2001-2002)- Research in Visualization of 3D images /

Image Processing CENAPAD-NE/UFC (2000)

- Internship in ATM Networks CNPq/UFC (1996 – 1999)

- Research in Parallel Computing

Work Experience Scholarships / Internships

Page 4: Technical_overview

FEEC - School of Electrical and Computer Engineering

Identify natural groups in a database- Unsupervised (no prior knowledge)- Supervised (training phase)- Non-parametric (no shape is assumed)

Clustering based on optimum-path florest of a graph (added to IAPR)- 50x faster than SVM, 100x faster than Neural

Networks for supervised classification Applications in:

- Data mining- Pattern recognition- CBIR – Context based image retrieval- Image segmentation/analysis- Video compression- 3 patents (2 national and 1 international)

Demo avaliable:- http://www.ic.unicamp.br/~afalcao/libopf

Research

Page 4

Data clustering

Page 5: Technical_overview

FEEC - School of Electrical and Computer Engineering

Real-time visualization of 3D images based on shear-warp factorization

Software-based rendering using efficient data structure- Surface and volumetric rendering- Maximum Intensity Projection- Stereo rendering- Voxel classification

Applications in:- Terrain data analysis- Medical Imaging- Mechanical Inspection

Demo avaliable:- http://www.ic.unicamp.br/~afalcao/3dview

Research

Page 5

3D Visualization

Page 6: Technical_overview

FEEC - School of Electrical and Computer Engineering

C/C+ MATLAB OpenGL, OpenGL|ES Tcl/Tk, wxWidgets,VTK

Software

Page 6

Programming languages and toolkits

Development plataforms Linux Windows Embedded systems DSP boards

Page 7: Technical_overview

FEEC - School of Electrical and Computer Engineering

Thank you

Page 7

3D Visualization

Real-time visualization of 3D images based on shear-warp factorization

Software-based rendering based on efficient data structure:- Surface and volumetric rendering- Stereo rendering- Maximum Intensity Projection- Voxel classification

Applications in:- Medical Imaging- Mechanical inspection- Sonic data Visualization Demo avaliable:- http://www.ic.unicamp.br/~afalcao/3dview

contact: [email protected]

Thank you“Obrigado”