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Journals ACM SIGGRAPH Computer Graphics Volume 26 Issue 1

SIGGRAPH '91 Workshop Report Integrating Computer Graphics, Computer Vision, and Image Processing in Scientific Applications Ingrid Carlbom, Digital Equipment Corporation Indranil Chakravarty, Schlumberger Laboratory for Computer Science William M Hsu, Digital Equipment Corporation 1. I n t r o d u c t i o n Many scientific and engineering applications in such diverse fields as medicine, biomedical research, oil exploration and development, earth sciences, molecular modeling, and robotics rely on models extracted from and verified by empirical and simulation data. In these applications, data collected from one or more sources is analyzed and combined to form models that contain both geometric and non-geometric information. These models are then used for measurements, for simulations, and for understanding the structures and relationships that may exist among the data. Although the sources of d a t a for each of these applications are different and considerable domain knowledge is required to analyze the data, there is also a great deal of commonality in the techniques used to visualize, quantify, and interact with the data and the models. These common techniques range from d a t a enhancement, feature extraction, reconstruction of geometry and structure, to visualization and interaction with the

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SIGGRAPH'91 Workshop Report Integrating Computer Graphics, Computer Vision, and Image Processing in Scientific Applications

Carlbom, Ingrid; Chakravarty, Indranil; Hsu, William M.
ACM SIGGRAPH Computer Graphics , Volume 26 (1)
Association for Computing Machinery – Jan 1, 1992

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