Depth Extraction Based on Function Fitting for Multiple Disparities in Integral Imaging

2015 ◽  
Vol 35 (4) ◽  
pp. 0411002
Author(s):  
王宇 Wang Yu ◽  
朴燕 Piao Yan
Author(s):  
Youngjun Kim ◽  
Ki-Ok Cho ◽  
Cheolsu Kim ◽  
Myungjin Cho

2004 ◽  
Author(s):  
Jae-Hyeung Park ◽  
Yunhee Kim ◽  
Joohwan Kim ◽  
Byoungho Lee

2009 ◽  
Vol 20 (2) ◽  
pp. 94-101
Author(s):  
Jin-Mo Kang ◽  
Jae-Hyun Jung ◽  
Byoung-Ho Lee ◽  
Jae-Hyeung Park

2012 ◽  
Vol 51 (16) ◽  
pp. 3279 ◽  
Author(s):  
Jae-Young Jang ◽  
Jang-Il Ser ◽  
Sungdo Cha ◽  
Seung-Ho Shin

2020 ◽  
Vol 50 (4) ◽  
Author(s):  
Huihua Huang ◽  
Peng Ge

We proposed a method using a merit function to determine the depth of objects in computational integral imaging by analyzing the existing methods for depth extraction of target objects. To improve the resolution of reconstructed slice images, we use a digital camera moving in horizontal and vertical direction with the set interval to get elemental images with high resolution and bilinear interpolation algorithm to increase the number of pixels in slice image which improves the resolution obviously. To show the feasibility of the proposed method, we carried out our experiment and presented the results. We also compared it with other merit functions. The results show that merit function SMD2 to determine the depth of objects is more accurate and suitable for real-time application.


Sign in / Sign up

Export Citation Format

Share Document