Example-based simulation of time-gated laser sequences from a single video image

Arvind Nayak, Emanuele Trucco, Andrew M. Wallace

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper introduces the first ever appearance-based simulator of burst illumination laser sequences from a single, conventional video image of a vehicle. The appearance-based approach allows us to dispose of the very complex physical models needed to achieve realism. The system uses a dictionary of 3-D, geometric object models and a dictionary of intensity-time profile examples. The latter were obtained from real images acquired for a number of different materials and surface orientations. To generate a synthetic time-gated sequence the user provides simply a single, conventional photograph of a vehicle in a desired orientation. The photograph is matched interactively to a database of 3-D geometric models of vehicles, estimating 3-D pose and approximate relative depths at all points. Depths are then used to simulate time-gating, and consequently to decide which object parts are imaged for every depth. Model surface orientation and material are used to index the example dictionary and assign an intensity-time profile to imaged pixels. Results indicate very promising performance. ©2006 IEEE.

Original languageEnglish
Title of host publication2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings
Pages473-476
Number of pages4
DOIs
Publication statusPublished - 2006
Event13th IEEE International Conference on Image Processing 2006 - Atlanta, GA, United States
Duration: 8 Oct 200611 Oct 2006

Conference

Conference13th IEEE International Conference on Image Processing 2006
Abbreviated titleICIP 2006
CountryUnited States
CityAtlanta, GA
Period8/10/0611/10/06

Keywords

  • Geometric modeling
  • Image generation
  • Optical imaging
  • Simulation

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    Nayak, A., Trucco, E., & Wallace, A. M. (2006). Example-based simulation of time-gated laser sequences from a single video image. In 2006 IEEE International Conference on Image Processing, ICIP 2006 - Proceedings (pp. 473-476) https://doi.org/10.1109/ICIP.2006.312496