A visual database system for data and experiment management in model-based computer vision

We present the design of a visual database system for data and experiment management. Our system was designed as a general scientific database system, but motivated by and intended for use in model-based computer vision. We provide a unified data model, a highly graphical user interface, an advanced query facility, and an interactive laboratory notebook. We hope that the system, when completed, will aid in scientific experimentation and will promote data sharing in the computer vision research community.<<ETX>>

[1]  Terry E. Weymouth,et al.  Semantic Queries in Image Databases , 1991, Visual Database Systems.

[2]  Linda G. Shapiro,et al.  Relational Models for View Class Construction in 3D Object Recognition , 1993 .

[3]  Allen R. Hanson,et al.  The image understanding environment program , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[4]  Linda G. Shapiro,et al.  Computer and Robot Vision , 1991 .

[5]  Robert M. Haralick,et al.  A Metric for Comparing Relational Descriptions , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[6]  Prasanna G. Mulgaonkar,et al.  Matching three-dimensional objects using a relational paradigm , 1984, Pattern Recognit..

[7]  Robert M. Haralick,et al.  A Spatial Data Structure , 1979 .

[8]  Bruce A. Draper,et al.  ISR: a database for symbolic processing in computer vision , 1989, Computer.

[9]  Carla S. Williams,et al.  An integrated data flow visual language and software development environment , 1991, J. Vis. Lang. Comput..