Paper
1 April 1991 Dense-depth map from multiple views
Giovanni Attolico, Laura Caponetti, Maria Teresa Chiaradia, Arcangelo Distante, Ettore Stella
Author Affiliations +
Proceedings Volume 1383, Sensor Fusion III: 3D Perception and Recognition; (1991) https://doi.org/10.1117/12.25243
Event: Advances in Intelligent Robotics Systems, 1990, Boston, MA, United States
Abstract
Depth and orientation information are important cues for the reconstruction of three-dimensional surfaces in computer vision. The statistical fusion of data obtained by slightly different views of the same scene is studied as a way for improving the accuracy and reliability of the data and consequent result of the integration step.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Giovanni Attolico, Laura Caponetti, Maria Teresa Chiaradia, Arcangelo Distante, and Ettore Stella "Dense-depth map from multiple views", Proc. SPIE 1383, Sensor Fusion III: 3D Perception and Recognition, (1 April 1991); https://doi.org/10.1117/12.25243
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KEYWORDS
Filtering (signal processing)

Error analysis

Sensor fusion

Image segmentation

3D modeling

Cameras

Imaging systems

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