Color holograms synthesis framework for three-dimensional scene reconstruction

The production of 3D models has been a popular research topic already for a long time, and important progress has been made since the early days. During the last decades, vision systems have established to become the standard and one of the most efficient sensorial assets in industrial and everyday applications. Due to the fact that vision provides several vital attributes, many applications tend to use novel vision systems into domestic, working, industrial, and any other environments. To achieve such goals, a vision system should robustly and effectively reconstruct the 3D surface and the working space. This chapter discusses different methods for capturing the three-dimensional surface of a scene. Geometric approaches to three-dimensional scene reconstruction are generally based on the knowledge of the scene structure from the camera’s internal and external parameters. Another class of methods encompasses the photometric approaches, which evaluate the pixels’ intensity to understand the three-dimensional scene structure. The third and final category of approaches, the so-called real aperture approaches, includes methods that use the physical properties of the visual sensors for image acquisition in order to reproduce the depth information of a scene.

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Three-dimensional scene reconstruction by using lenslet array model in computational integral imaging

10.1117/12.837735 ◽

2009 ◽

Author(s):

YuSheng Huang ◽

Jun Xia ◽

HanChun Yin

Keyword(s):

Three Dimensional ◽

Scene Reconstruction ◽

Integral Imaging ◽

Lenslet Array ◽

Computational Integral Imaging

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Geometric Approaches to Three-dimensional Scene Reconstruction

X.media.publishing - 3D Computer Vision ◽

10.1007/978-3-642-01732-2_1 ◽

2009 ◽

pp. 3-126 ◽

Cited By ~ 1

Author(s):

Christian Wöhler

Keyword(s):

Three Dimensional ◽

Scene Reconstruction

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Disparity smoothing algorithm for three-dimensional scene reconstruction

IFAC Proceedings Volumes ◽

10.3182/20090819-3-pl-3002.00073 ◽

2009 ◽

Vol 42 (13) ◽

pp. 419-424

Author(s):

Grzegorz Nieradka

Keyword(s):

Three Dimensional ◽

Scene Reconstruction ◽

Smoothing Algorithm

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Telecontrol Engineering of Three-Dimensional Measurements from Two-Dimensional Digital Photogrammetry for Scene Reconstruction

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.271-273.489 ◽

2011 ◽

Vol 271-273 ◽

pp. 489-494

Author(s):

Dai Qin Tao ◽

Zhi Yong Yin ◽

Sheng Xiong Liu ◽

Li Jun Wang

Keyword(s):

Focal Length ◽

Three Dimensional ◽

Accurate Method ◽

Scene Reconstruction ◽

Digital Photogrammetry ◽

Maximal Error ◽

3D Measurements ◽

Highly Active ◽

Before And After ◽

Dimensional Measurements

It set up a quick and high accurate method of 3D measurements from the 2D digital photogrammetry to reconstruct the scene by teleprocessing. Three types of feature marks in the matrix arrayhave been projected. The calibrations of the camera with fixed focal length have been calculated and compared before and after revision. The cross-shaped feature was the most accurate mark. And the cone barrel with sharp apex was also more accurate than the traditional round dot. The real case practices have been engaged in to verify the practicability and efficiency of the projects. In less than 10m with 6 points, the maximal error has been reduced to 0.029%. In around 20m with 20 to 34 ponits, the maximal error has been reduced to 0.046%. And it was far more accurate than the counterpart research (0.44%).The measurements results of the more big areas have been found to be instability. So the lawful choice of the single photogrammetric image scope should be limited to 20m. In the proper image scope (<26m), the telecontrol 3D measurements are very accurate and highly active. It can be positively applied to the remote scene reconstruction as well as other engineering vistas.

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