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Daniel G. Aliaga |
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Assistant Professor of Computer Science Purdue University 305 N. University St. West Lafayette, IN 47907-2066 Office: (765) 496-7943 FAX: (765) 494-0739 Email: aliaga at cs purdue edu |
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Daniel G. Aliaga |
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Assistant Professor of Computer Science Purdue University 305 N. University St. West Lafayette, IN 47907-2066 Office: (765) 496-7943 FAX: (765) 494-0739 Email: aliaga at cs purdue edu |
Assistant Professor, Purdue University, 2003-present.
Research Staff, Princeton University, 2003.
Member of Technical Staff, Bell Labs, 1999-2002.
Ph.D., Computer Science, University of North Carolina at Chapel Hill, 1993-1999.
M.S., Computer Science, University of North Carolina at Chapel Hill, 1991-1993.
B.S. Computer Science, Magna Cum Laude, Honors, Brown University, 1987-1991.
High School, Colegio Santa Maria, Lima - Peru, 1982-1986.
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Reconstructing large models from images is a significant challenge for computer graphics, computer vision, and related fields. In this project, we investigate an approach for simplifying the reconstruction process by mathematically eliminating external camera parameters. This results in less parameters to estimate and in an overall significantly more robust and accurate reconstruction. Unlike self-calibration, omitting pose parameters from the acquisition process implies no external calibration data must be computed or provided. |
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Creating models of dynamic 3D objects is an important part of content generation for computer graphics. If the states or poses of the dynamic object repeat often (but not necessarily periodically), we call such a repetitive motion. Our approach enables robustly acquiring and obtaining space-time 3D models of repetitive motions using as few as two cameras or one camera-projector pair. |
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Obtaining image sequences of popular and active environments is often hindered by unwanted interfering occluders. In this work, we propose a family of Occlusion-Resistant Camera (ORC) designs for acquiring such environments. Our cameras explicitly remove interfering occluders from acquired data in real-time and during live capture. |
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Our objective is to obtain models of large urban environments. We combine image-based capturing and rendering with procedural modeling techniques to allow the creation of novel structures in the style of real-world structures. We have developed techniques to capture building size environments and are pursuing the capture of larger urban spaces (e.g., urban layouts). |
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In this project, we present an image-based approach to providing interactive and photorealistic walkthroughs of complex indoor environments. Our strategy is to obtain a dense sampling of viewpoints in a large static environment with omnidirectional images and to replace the 3D reconstruction challenges with motorized-cart control, dense image-based sampling, and compression -- problems for which we can provide efficient solutions. |
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The project investigates novel and intuitive interfaces to help in educational scenarios. We are developing hardware and software tools for tabletop mixed-reality and for portable Tablet PCs in classrooms |
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A key component of providing realism is rendering large and detailed 3D models at high frame rates. We explore various rendering acceleration methods, including visibility culling, geometry simplification, and image-based rendering. |
[CGVLAB: Computer Graphics and Visualization Lab at Purdue University]
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| Number | Title | Year |
| CS590G/CS635 | Capturing, Modeling, Rendering 3D Structures | Fall 2003, Fall 2004, Spring 2007 |
| CS590M | Geometric Modeling and Applications | Spring 2004 |
| CS535 | Interactive Computer Graphics | Fall 2005, Fall 2007 |
| CS490G | Tablet PC Graphics | Spring 2004, Spring 2005, Spring 2006 |
| CS397/CS497 | Honor's Research | Fall 2004 |
| CS334 | Fundamentals of Computer Graphics | Spring 2008 |
| CS251 | Data Structures | Fall 2006 |
Editor for Graphical Models
Program Committee for HyperText 2008
Program Committee for Pacific Graphics 2008
Program Committee for ACM Symposium in Interactive 3D Graphics 2008
Program Committee for ACM Int'l Symposium on Mixed and Augmented Reality 2007
Program Committee for Pacific Graphics 2007
Program Committee for Symposium on Point-based Graphics 2007
Program Committee for SIBGRAPI 2007
Program Committee for ACM Symposium in Interactive 3D Graphics 2007
Program Committee for Int'l Conference on Computer Graphics Theory and Applications 2007
Program Committee for Symposium on Point-based Graphics 2006
Program Committee for ACM Int'l Symposium on Mixed and Augmented Reality 2006
Program Committee for Virtual Reality Software and Technology 2006
Program Committee for Pacific Graphics 2006
Program Committee for ACM Symposium in Interactive 3D Graphics 2006
Program Committee for Int'l Conference on Computer Graphics Theory and Applications 2006
Program Committee for SIBGRAPI 2006
Program Committee for Symposium on Point-based Graphics 2005
Program Committee for ACM Int'l Symposium on Mixed and Augmented Reality 2005
Program Committee for ACM Symposium in Interactive 3D Graphics 2005
Program Committee for Symposium on Point-based Graphics 2004
NSF Graphics Panel 2002
NSF Graphics Panel 2001
ACM SIGGRAPH Course Organizer 2000
ACM SIGGRAPH Course Organizer 1999
