scholarly journals Optics system design applying a micro-prism array of a single lens stereo image pair

2008 ◽  
Vol 16 (20) ◽  
pp. 15495 ◽  
Author(s):  
Chien-Yue Chen ◽  
Ting-Ting Yang ◽  
Wen - Shing Sun
Keyword(s):  
System Design ◽  
Stereo Image ◽  
Image Pair ◽  
Single Lens

Analogue and Digital Stereo-Photography

2014 ◽  
pp. 59-86
Author(s):  
Geoff Ogram
Keyword(s):  
Image Processing ◽  
Practical Method ◽  
Stereo Image ◽  
Single Lens ◽  
History Of ◽  
Control Devices ◽  
Stereo Image Processing

The origins of stereoscopic imagery are discussed briefly, and a practical method of producing stereoscopic pairs of images with a single-lens camera is explained in this chapter. The history of stereoscopic cameras is summarised, and the models and formats listed. The various formats for 35 mm formats are discussed and the fundamental geometry reviewed. Instructions for the correct mounting of stereo pairs of images are given. Equipment for digital stereoscopic photography is discussed, with descriptions of available models and their control devices and associated software listed for each model. Specifically designed programs for stereo image processing are available.

Super Compact Optical System Design Based On Single Lens

2015 ◽  
Vol 35 (4) ◽  
pp. 0422006
Author(s):  
虞林瑶 Yu Linyao ◽  
谢京江 Xie Jingjiang ◽  
魏群 Wei Qun ◽  
张天翼 Zhang Tianyi ◽  
王超 Wang Chao ◽  
...  
Keyword(s):  
System Design ◽  
Optical System ◽  
Optical System Design ◽  
Single Lens

A Fast Binocular Vision Stereo Matching Algorithm

2014 ◽  
Vol 556-562 ◽  
pp. 3735-3738
Author(s):  
Hui Zhang ◽  
Ling Tao Zhang ◽  
Yi Ren
Keyword(s):  
Stereo Matching ◽  
Computational Cost ◽  
Stereo Image ◽  
Feature Points ◽  
Image Pair ◽  
Canny Operator ◽  
Canny Edge Detection ◽  
Matching Algorithm ◽  
Canny Edge ◽  
Image Edge

In this paper we present a fast indoor stereo matching algorithm based on canny edge detection and line moments. We first detect image edge by using Canny operator, then find the target objects according line moments, the feature points of the objects’ contours are extracted. Finally, matching the pixel in stereo image pair according the angle vector. The algorithm effectively reduces the computational complexity, computational cost is decreased greatly. The experimental results show that the algorithm is possible and valid.

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