Geometry and texture recovery of scenes of large scale

  • Authors:
  • Ioannis Stamos;Peter K. Allen

  • Affiliations:
  • Computer Science Department, Hunter College and Graduate Center, City University of New York, New York;Computer Science Department, Columbia University, New York, New York

  • Venue:
  • Computer Vision and Image Understanding
  • Year:
  • 2002

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Abstract

This paper presents a systematic approach to the problem of photorealistic 3-D model acquisition from the combination of range and image sensing. The input is a sequence of unregistered range scans of the scene and a sequence of unregistered 2-D photographs of the same scene. The output is a true texture-mapped geometric model of the scene. We believe that the developed modules are of vital importance for a flexible photorealistic 3-D model acquisition system. Segmentation algorithms simplify the dense datasets and provide stable features of interest which can be used for registration purposes. Solid modeling provides geometrically correct 3-D models. Finally, the automated range to an image registration algorithm can increase the flexibility of the system by decoupling the slow geometry recovery process from the image acquisition process; the camera does not have to be precalibrated and rigidly attached to the range sensor. The system is comprehensive in that it addresses all phases of the modeling problem with a particular emphasis on automating the entire process interaction.