A disparity map estimation algorithm for the three-dimensional swept volume display: Optical adaptive direction Normalized Cross-Correlation window

2012 ◽  
Author(s):  
Wei Xu ◽  
Boyu Si ◽  
Chuanwei Sun ◽  
Jingao Liu
Keyword(s):  
Cross Correlation ◽  
Three Dimensional ◽  
Estimation Algorithm ◽  
Map Estimation ◽  
Disparity Map ◽  
Normalized Cross Correlation ◽  
Correlation Window ◽  
Swept Volume

scholarly journals Hardware Implementation for an Improved Full-Pixel Search Algorithm Based on Normalized Cross Correlation Method

Electronics ◽  
2018 ◽  
Vol 7 (12) ◽  
pp. 428 ◽  
Author(s):  
Guohe Zhang ◽  
Zejie Kuang ◽  
Sufen Wei ◽  
Kai Huang ◽  
Feng Liang ◽  
...  
Keyword(s):  
Cross Correlation ◽  
Hardware Implementation ◽  
Search Algorithm ◽  
Single Point ◽  
Three Dimensional ◽  
Correlation Method ◽  
Strong Stability ◽  
Point Matching ◽  
Digital Speckle Correlation Method ◽  
Normalized Cross Correlation

Digital speckle correlation method is widely used in the areas of three-dimensional deformation and morphology measurement. It has the advantages of non-contact, high precision, and strong stability. However, it is very complex to be carried out with low speed software implementation. Here, an improved full pixel search algorithm based on the normalized cross correlation (NCC) method considering hardware implementation is proposed. According to the field programmable gate array (FPGA) simulation results, the speed of hardware design proposed in this paper is 2000 faster than that of software in single point matching, and 600 times faster than software in multi-point matching. The speed of the presented algorithm shows an increasing trend with the increase of the template size when performing multipoint matching.

scholarly journals Three-Dimensional Reconstruction of Light Field Based on Phase Similarity

Sensors ◽  
2021 ◽  
Vol 21 (22) ◽  
pp. 7734
Author(s):  
Wei Feng ◽  
Junhui Gao ◽  
Tong Qu ◽  
Shiqi Zhou ◽  
Daxing Zhao
Keyword(s):  
3D Reconstruction ◽  
Light Field ◽  
Three Dimensional ◽  
Ground Truth ◽  
Depth Estimation ◽  
Estimation Algorithm ◽  
Morphological Processing ◽  
Disparity Estimation ◽  
Reconstruction Method ◽  
Disparity Map

Light field imaging plays an increasingly important role in the field of three-dimensional (3D) reconstruction because of its ability to quickly obtain four-dimensional information (angle and space) of the scene. In this paper, a 3D reconstruction method of light field based on phase similarity is proposed to increase the accuracy of depth estimation and the scope of applicability of epipolar plane image (EPI). The calibration method of the light field camera was used to obtain the relationship between disparity and depth, and the projector calibration was removed to make the experimental procedure more flexible. Then, the disparity estimation algorithm based on phase similarity was designed to effectively improve the reliability and accuracy of disparity calculation, in which the phase information was used instead of the structure tensor, and the morphological processing method was used to denoise and optimize the disparity map. Finally, 3D reconstruction of the light field was realized by combining disparity information with the calibrated relationship. The experimental results showed that the reconstruction standard deviation of the two objects was 0.3179 mm and 0.3865 mm compared with the ground truth of the measured objects, respectively. Compared with the traditional EPI method, our method can not only make EPI perform well in a single scene or blurred texture situations but also maintain good reconstruction accuracy.

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