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The CVIP Lab – A
Brief History on Mission and Accomplishments
The Computer Vision and Image
Processing Laboratory (CVIP Lab) was established in 1994 at the
University of Louisville and is committed to excellence in research,
teaching and training of image analysis and computer vision. The CVIP Lab has three broad focus
areas: imaging science, computer vision and biomedical imaging. The
laboratory hosts unique and modern hardware for imaging, AI
Robotics, vision sensors, object scanning, high performance
computing and visualization. The laboratory is housed in a modern
state-of-the-art research building and is equipped with the latest
in information technology.
The laboratory is a University of
Louisville resource committed to Excellence. Besides the technical
staff associated with the Lab, over 50 distinguished researchers at
the University of Louisville and worldwide have collaborated with
the CVIP Lab during the past decade. The laboratory has trained over 100
students and professionals since 1994. Research at the Lab has lead
to graduating 25 MS and 15 PhD students (as of Spring 2008), and
trained 10 postdoctoral fellows, hosted a number of national and
international scholars, and trained several undergraduate students.
Scientific activities at the CVIP Lab lead to the creation of 11
subjects in the ECE Department Curriculum. The laboratory research
generated over 250 publications and five patents.
During the past decade, the CVIP
Lab has worked on the following funded projects:
Image Analysis and Computer Vision:
- 3D Object Surface Reconstruction
from Multimodality Sensors
- Active Vision Systems Design
- Autonomous Mobility
- Vision-Based Auto-refueling
- Integrated Biometrics
- 3D Face Recognition
- Change Detection using
Multispectral and Hyperspectral Remote Sensing Data
Biomedical Imaging:
- 3D Structural Models from CT and
MRI Scanning
- Reconstruction of the Human Jaw
from Intra-Oral Video Images
- Intra-Operative Surgical
Planning
- CAD System for Screening of Lung
Nodules from Chest Low Dose CT Scans
- Virtual Colonoscopy and CAD
System for Screening of Colon Polyps from Abdominal CT Scans
- Analysis of Kidney Performance
after a Transplant using DCE-MRI
- Brain Research on Autism,
Dyslexia, Traumatic Brain Injury, Strokes and Multiple
Sclerosis
- Quantification of f-Actin in
Rolling White Blood Cells
Theoretical Work Developed at the
CVIP Lab during the Past Decade Includes:
- Active Camera Calibration
- Generalized Image Formation and
Shape from Shading
- Image Models using Statistical
and Variational Approaches
- Object Representation by Surface
Point Signatures (SPS)
- Object Representation by Curve
Skeletons
- Variational Models for Object
Representations and Shape Registration
Laboratory publications appear in the
top and mainstream literature in computer vision and biomedical
imaging analysis. The CVIP Lab Research has been featured on local
and national media and by the NSF.
Please feel free to read through our
website for details and drop us a note of your comments or
questions….
Dr. Aly A. Farag
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