Ismail Sebe
(650) 387 9286, iosebe@graphics.usc.edu, http://graphics.usc.edu/~iosebe
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OBJECTIVE
Seeking a software engineering position in computer
vision, computer graphics and image processing areas
EDUCATION
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Ph.D. |
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expected 2007 GPA of 3.97/4.00 |
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Courses: |
Digital
Image Processing (DIP), Special Topics in DIP, Computer Vision (CV), Advanced Topics in
CV, Geometry Modeling, Computational Geometry , Computer Graphics and
Rendering, Computer Animation and Simulation |
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M.S. |
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Sep 2001 - Apr 2003 GPA of 3.76/4.00 |
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Courses: |
Image
Communication I-II, Digital Video Processing, Computer Graphics · Passed
Stanford University EE PhD Qualifying Exam, ranked 36 out of 195 · NATO A-1
Graduate Fellowship |
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B.S. |
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Sep 1996 - Jun 2001 Rank 5/54, GPA of 3.73/4.00 |
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Courses: |
Image Processing and
Computer Vision, Statistical Pattern Recognition and Machine Vision · Nortel
Networks University Case Competition Winner of Turkey round. Ranked 5th
out of 16 in finals, |
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MAJOR
PROJECTS and PUBLICATIONS
· Rapid
Modeler
o Created a framework for 3D modeling of complex objects
from a single un-calibrated image
o Introduced object-specific part-based modeling
approach
o Developed a single camera video-based rendering system
o Currently researching on integration of an automatic
part detection system for vehicle modeling
· Dynamic
Augmented Virtual Environments (DAVE)
o Developed a real-time dynamic object detection,
modeling and tracking system for urban scenes
o Fused 3D models of moving objects with virtual
environments to create a dynamic digital world
o Formulated a novel combinatorial multiple hypotheses
tracking algorithm
· MinHulls
o Theorized an alternative visual hull reconstruction to
achieve guaranteed smaller volumes
o Proved the existence of such a solution for any set of
2D projections of an 3D object
· Real-time
IBR
o Modified polyhedral visual hulls for convex
projections to achieve further speed increase
·
Light-Field Compression
o Redesigned a 3D modeling framework for multiple
cameras
o Introduced appropriate constraints for optical-flow
minimization
· Animorph
o Designed a framework to fuse shape morphing with
motion blending to combine multiple animations
· Motion Estimation
for Compression
o Proposed a novel nodal motion estimation for
compression
· Basketball
Tracking
o Combined shape and color cues of an basketball to
track a basketball in video
· Calibration
for IBR
o Designed a multi-camera calibration system for an IBR
system
· Virtual
Mouse
o Developed an adaptive template matching algorithm for
robust and fast tracking
·
Virtual Eye
o Proposed and designed a learning algorithm for
saccadic eye movement for robots
RESEARCH EXPERIENCE
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Research Assistant |
June 2003-current ·
Major projects:
DAVE and Rapid Modeler |
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Research Assistant |
September 1999-June 2001 · Major projects: Virtual Eye |
WORK EXPERIENCE
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Intern ST Microelectronics |
June 2002-October 2002 · Major projects: Virtual Mouse and Calibration for
IBR |
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Intern 3M Electronics |
June 2000 – September 2000 · Developed elliptic Fourier descriptor based object
identification |
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Group Manager |
June 2003 – current · Managed lab resources for a group of 15 graduate
students · Responsible for member orientation and solving lab
problems |
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Teaching Assistant |
EE101 in Spring06, Fall06 and Spring07 |
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Teaching Assistant |
EE 141 in Fall 02 |
AFFILIATIONS
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ACM Student
Member, 2005 – current
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IEEE Student
Member 2005 - current
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Gakusei Kai
Student Club, 2006 - current
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USC Ballroom
Dance Club Member, 2003 - current
TECHNICAL SKILLS
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Programming
Languages: C/C++, Java, VBasic, Matlab, OpenGL, JOGL, GLUT, MFC, HTML
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Programs: Visual
Studio C++ 6.0, Eclipse, Adobe PhotoShop, Adobe Premiere, Latex