Flexible simulation strategy for modeling 3D cultural objects based on multi-source remotely sensed imagery

Guennadi Guienko*, Eugene Levin

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


New ideas and solutions never come alone. Although automated feature extraction is not sufficiently mature to move from the realm of scientific investigation into the category of production technology, a new goal has arisen: 3D simulation of real-world objects, extracted from images. This task, which evolved from feature extraction and is not an easy task itself, becomes even more complex, multi-leveled, and often uncertain and fuzzy when one exploits time-sequenced multi-source remotely sensed visual data. The basic components of the process are familiar image processing tasks: fusion of various types of imagery, automatic recognition of objects, removng those objects from the source images, and replacing them in the images with their realistic simulated "twins" - object rendering. This paper discusses how to aggregate the most appropriate approach to each task into one technological process in order to develop a Manipulator for Visual Simulation of 3D objects (ManVIS) that is independent or imagery/format/media. The technology could be made general by combining a number of competent special purpose algorithms under appropriate contextual, geometric, spatial, and temporal constraints derived from a-priori knowledge. This could be achieved by planning the simulation in an Open Structure Simulation Strategy Manager (O3SM) - a distinct component of ManVIS-building the simulation strategy before beginning actual image manipulation.

Original languageEnglish
Pages (from-to)262-269
Number of pages8
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2003
Externally publishedYes
EventVideometrics VII - Santa Clara, CA, United States
Duration: 21 Jan 200322 Jan 2003


  • 3D Simulation
  • Feature Extraction
  • Remotely Sensed Imagery
  • Visual Data Fusion


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