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Computing and the arts, you are here, research by topic.
- Applications of Computer Graphics in Cultural Heritage
- Applications of Perception to Computer Graphics
- Automated Composition
- Material Texture Models
- Modeling and Interacting with Architectural Scale Scenes
- Recovering Shape and Reflectance
- Sketching Alternative Design Techniques
- The Euterpea Project and Studio
Computer Graphics Group
Applications of computer graphics in cultural heritage.
- Publications
Over the past decade information technology has been applied increasingly in both studying and communicating cultural heritage. In past projects we have used a combination of shape capture from computer vision and image synthesis computer graphics to study the structure and history of a particular sculpture, and to prepare materials for presenting museum artifacts over the Internet. We are continuing to develop methods for measuring and analyzing artifacts for expert use, as well more effective methods for the visual communication of heritage for the general public.
A Course on the Digital Humanities for the Premodern World
Reconstructing Dura-Europos From Sparse Photo Collections Using Deep Contour Extraction
Art and Cultural Heritage (Guest Editors' Introduction)
AniCode: authoring coded artifacts for network-free personalized animations
New Haven Building Archive: A Database for the Collection, Study, and Communication of Local Built Heritage
CHER-ish: A sketch- and image-based system for 3D representation and documentation of cultural heritage sites
An Introductory Video Generator for Disseminating Cultural Heritage Projects
Towards Semi-Automatic Scaling Detection on Flat Stones
Special Object Extraction from Medieval Books Using Superpixels and Bag-of-Features (BoF)
CHER-Ob: A Tool for Shared Analysis in Cultural Heritage
Automatic Single Page-based Algorithms for Medieval Manuscript Analysis
Automated Color Clustering for Medieval Manuscript Analysis
An Automatic Wordspotting Framework for Medieval Manuscripts
ATHENA: Automatic Text Height ExtractioN for the Analysis of text lines in old handwritten manuscripts
Examples of challenges and opportunities in visual analysis in the digital humanities
A Survey of Geometric Analysis in Cultural Heritage
Geometric Analysis in Cultural Heritage
A TaLISMAN: Automatic Text and LIne Segmentation of historical MANuscripts
Hyper3D: 3D Graphics Software for Examining Cultural Artifacts
ATHENA: Automatic Text Height ExtractioN for the Analysis of old handwritten manuscripts
3D Imaging Spectroscopy for Measuring Hyperspectral Patterns on Solid Objects
Developing Open-Source Software for Art Conservators
Radiometric Characterization of Spectral Imaging for Textual Pigment Identification
An Integrated Image and Sketching Environment for Archaeological Sites
Computer Graphics Techniques for Capturing and Rendering the Appearance of Aging Materials
Shape Capture Assisted by Traditional Tools
Eternal Egypt: Experiences and Research Directions
Reverse Engineering Methods for Digital Restoration Applications
Observing and Transferring Material Histories
The Development of the Virtual Model of Michelangelo's Florence Pietà
Scanning and Processing 3D Objects for Web Display
Building a Digital Model of Michelangelo's Florentine Pietà
Digital Materials and Virtual Weathering
Computer Science
Research groups and labs.
Yale Computer Science is fueled by a dynamic, collaborative community of researchers. Our faculty-led research labs are pushing science to new frontiers, from theory to practice.
Joint Research Labs
Theory group.
Faculty: Dana Angluin (Emeritus), James Aspnes, Yang Cai, Joan Feigenbaum, Michael Fischer, Daniel Spielman, Nisheeth Vishnoi
Computer Systems Lab (CSL)
Faculty: Abhishek Bhattacharjee, Wenjun Hu, Yongshan Ding, Richard Lethin, Jay Lim, Anurag Khandelwal, Rajit Manohar, Priyadarshini Panda, Ruzica Piskac, Zhong Shao, Robert Soulé, Avi Silberschatz, Jakub Szefer, Y. Richard Yang, Lin Zhong
Machine Learning at Yale
Faculty: Dana Angluin, Elisa Celis, Ronald Coifman, Amin Karbasi, Yuval Kluger, Smita Krishnaswamy, John Lafferty, Sahand Negahban, Dragomir Radev, Brian Scassellati, Daniel Spielman, Sekhar Tatikonda, Marynel Vázquez, Nisheeth Vishnoi, Andre Wibisono, Steven Zucker
Computer Graphics Group
Faculty: Julie Dorsey, Theodore Kim, Holly Rushmeier
IMAGES
VIDEO
COMMENTS
Research in computer graphics at Yale includes sketching, alternative design techniques, texture models, the role of models of human perception in computer
Scientific computing research at Yale emphasizes algorithm development, theoretical analysis, systems and computer architecture modeling, and programming
We are a computer graphics group based in Yale's Computer Science Department. At Yale we are immersed in a unique environment with world-class faculties in
At Yale, the focus of Computer Science as we move into the new millennium is in seven specific areas:, Algorithms and Complexity Theory, Distributed Computing
Research Areas · Anti-Racist Graphics · Application of Perception to Computer Graphics · Applications of Computer Graphics in Cultural Heritage · Material and
We generate synthetic computer images for people. By exploiting properties of the human visual system we can generate images more efficiently
Research by T opic · Applications of Computer Graphics in Cultural Heritage · Applications of Perception to Computer Graphics · Automated Composition · Material
Jarred Parr is a PhD student in Computer Science. His research is currently focused on physics-based animation, anti-racist graphics research, and deformable
In past projects we have used a combination of shape capture from computer vision and image synthesis computer graphics to study the structure and history
Yale Computer Science is fueled by a dynamic, collaborative community of researchers. Our faculty-led research labs are pushing science to new frontiers