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Related Experiment Video

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Photorealistic Learned Landscapes for Augmented Reality
06:54

Photorealistic Learned Landscapes for Augmented Reality

Published on: June 27, 2025

Geometry-based distributed scene representation with omnidirectional vision sensors.

Ivana Tosic1, Pascal Frossard

  • 1Signal Processing Laboratory, Ecole Polytechnique Fédérale de Lausanne, Lausanne, Switzerland. ivana.tosic@epfl.ch

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
|July 1, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces a new geometric model for efficiently representing 3-D scenes from multiple omnidirectional cameras. The novel distributed coding scheme achieves reliable view correlation estimation and near-joint encoding performance.

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Area of Science:

  • Computer Vision
  • Geometric Modeling
  • Signal Processing

Background:

  • Efficient representation of 3-D scenes from distributed omnidirectional sensors is challenging.
  • Existing methods often require camera communication or lack optimal performance.

Purpose of the Study:

  • To propose a novel geometric model for correlating views from distributed omnidirectional sensors.
  • To develop a distributed coding scheme for efficient scene representation without inter-camera communication.

Main Methods:

  • Approximating camera images using sparse expansions over geometric atoms.
  • Modeling view correlation with local geometric transforms based on shape and epipolar geometry.
  • Designing a Wyner-Ziv encoder and joint decoder for distributed coding.

Main Results:

  • Reliable estimation of geometric transforms between camera views.
  • Distributed coding scheme achieves performance comparable to joint encoding at low bit rates.
  • Outperforms methods relying on independent image decoding.

Conclusions:

  • The proposed geometric framework enables efficient and reliable distributed scene representation.
  • The novel distributed coding scheme offers a practical solution for multi-camera systems.
  • This approach advances the field of multi-view geometry and data compression.