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
CVIP Lab 