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Advancements in Visual Computing: Research, Education, and Applications

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The Center for Visual Computing focuses on a diverse range of fields including computer graphics, medical imaging, and virtual reality. Our research integrates physics-based modeling, computer vision, and image processing for applications such as virtual colonoscopy and volume rendering. Led by experts like Arie Kaufman and Hong Qin, our team is dedicated to innovation in visual analytics and haptics. We offer courses such as CSE 648 and CSE 530, preparing students for impactful careers in visual computing and related areas.

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Advancements in Visual Computing: Research, Education, and Applications

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  1. Center for Visual Computing August 31, 2006

  2. What we do… • Computer graphics • Medical, biological, financial, scientific visualization • Computer vision, image processing • Computer-aided modeling and design • Multimedia, user interfaces • Virtual reality, wearable / wireless computing • Medical imaging • Computional neuroscience

  3. Who we are… • Arie Kaufman, Director • Hong Qin • Klaus Mueller • Dimitris Samaras • David Gu • Alex Vasilescu • Several members from outside CS department

  4. Arie Kaufman • 3D medical imaging visualization • surgery, virtual colonoscopy • Volumetric modeling • voxelization, amorphous phenomena • Volume sculpting with haptics • Volumetric manipulation, animation, simulation • Volume rendering algorithms / systems • Modeling of amorphous phenomena • fire, smoke, melting, homeland security applications • Visual analytics • Courses: CSE 648, Seminar in Computer Graphics

  5. Arie Kaufman • 3D medical imaging visualization • surgery, virtual colonoscopy • Volumetric modeling • voxelization, amorphous phenomena • Volume sculpting with haptics • Volumetric manipulation, animation, simulation • Volume rendering algorithms / systems • Modeling of amorphous phenomena • fire, smoke, melting, homeland security applications • Visual analytics • Courses: CSE 648, Seminar in Computer Graphics

  6. Example: Virtual Colonoscopy • Fast volume rendering, automatic segmentation, and specialized user interface • Accurate electronic cleansing, electronic biopsy • Non-invasive, inexpensive, comfortable, fast • Goal: mass screening for colon cancer

  7. Hong Qin • Physics-based modeling and simulation • Methodology: • integration of geometry and physics • unifying modeling, design, analysis, and manufacturing • Courses • CSE 530: Geometric foundations for graphics and visualization (Spring) • CSE 621: Physics-based modeling for visual computing • CSE 655: Seminar on modeling and simulation (every semester) • CSE 680: Special topics on modeling and simulation

  8. On-Going Research Projects • Dynamic NURBS theory and applications • DYNASOAR: DYNAmic Solid Objects of Arbitrary topology (a.k.a. Virtual Clay) • Intelligent Balloon (subdivision surfaces for unknown topology) • PDE surfaces and solids, implict functions • Haptics-based interface and VR • Multiresolution analysis, wavelets

  9. Klaus Mueller • Computer Graphics: • volume graphics, textures • Visualization: • scientific, medical, information • Medical Imaging: • tomography, reconstruction • Visual Analytics: • visual data mining / analysis • Face Recognition • face dynamics, biometrics • Graphics hardware computing (GP-GPU)

  10. Example: Detail Modeling • Infinite zooms by texture synthesis of detail

  11. Example: Urban Modeling

  12. Teaching (Graduate) • CSE 564 Visualization (Spring 2007) • CSE 594 Visual Analytics (Spring 2007) • CSE 648 Volume Graphics Seminar (all sems.)

  13. + = Dimitris Samaras • Deformable models for: • Computer vision, computer graphics, medical image analysis • Illumination modeling: • extraction of illumination parameters and surface reflectance characteristics from images • for object recognition, image-based rendering and augmented reality • Face and human body tracking and modeling • application: expression transfer

  14. Example: expression transfer

  15. Computational For Neuroscience Graduate students wanted • Hot computional neuroscience project: • Machine learning methods for feature learning and pattern recognition in functional MRI

  16. David Gu • Computational conformal geometry • Structure of general surfaces • Geometric modeling • Manifold Splines • Global parameterizations • Medical Imaging • Brain mapping etc. • Geometry images • Fully regular surface representations

  17. Example: Hypersheet

  18. David Gu • Teaching this fall: • CSE 529 Simulation and Modeling • CSE 6xx: Seminar in Geometry

  19. The question really is:Do we needeven moreplayingaround?

  20. OF COURSE !!!

  21. OF COURSE !!!Feel free to join in.…

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