scholarly journals 3d Image Generation from Single 2d Image using Monocular Depth Cues

2019 ◽  
Vol 9 (2) ◽  
pp. 856-859
Keyword(s):  
Depth Map ◽  
Depth Image ◽  
Image Generation ◽  
3D Image ◽  
Depth Cues ◽  
Depth Image Based Rendering ◽  
2D To 3D Conversion ◽  
Monocular Depth ◽  
Indoor And Outdoor ◽  
2D To 3D

There has been a tremendous increase in the popularity of 3D hardware such as TV's, Smartphone's, gadgets for gaming, medical equipments, 3D printing and many more. 2D to 3D conversion is applied at various levels to get 3D content. In this paper, 3D image is generated from a single 2D image. we try to convert our own Karate and Bharathanatyam (KB) Dataset which contains both indoor and outdoor poses to 3D. Here, Watershed algorithm is employed to segment the image. Depth map is generated by sharpness and contrast as depth cues. The 3D image from single 2D image is created by depth image based rendering method.

Foreground-based depth map generation for 2D-to-3D conversion

2015 ◽  
Author(s):  
Ho Sub Lee ◽  
Sung In Cho ◽  
Gyu Jin Bae ◽  
Young Hwan Kim ◽  
Hi-Seok Kim
Keyword(s):  
Depth Map ◽  
2D To 3D Conversion ◽  
Map Generation ◽  
2D To 3D

scholarly journals Adaptive 2D To 3D Image Conversion Using A Hybrid Graph Cuts And Random Walks Approach

2021 ◽  
Author(s):  
Mohammad Fawaz
Keyword(s):  
Random Walks ◽  
Spatial Information ◽  
Depth Map ◽  
Graph Cuts ◽  
Adaptive Method ◽  
Image Conversion ◽  
2D To 3D Conversion ◽  
Work Done ◽  
2D To 3D

This thesis proposes an adaptive method for 2D to 3D conversion of images using a user-aided process based on Graph Cuts and Random Walks. Given user-defined labelling that correspond to a rough estimate of depth, the system produces a depth map which, combined with a 2D image can be used to synthesize a stereoscopic image pair. The work presented here is an extension of work done previously combining the popular Graph Cuts and Random Walks image segmentation algorithms. Specifically, the previous approach has been made adaptive by removing empirically determined constants; as well the quality of the results has been improved. This is achieved by feeding information from the Graph Cuts result into the Random Walks process in two different ways, and using edge and spatial information to adapt various weights. This thesis also presents a practical application which allows for a user to go through the entire process of 2D to 3D conversion using the method proposed in this work. The application is written using MATLAB, and allows a user to generate and edit depth maps intuitively and also allows a user to synthesize additional views of the image for display on 3D capable devices.

scholarly journals ANALYSIS AND ENHANCEMENT OF THE DENOISING DEPTH DATA USING KINECT THROUGH ITERATIVE TECHNIQUE

2016 ◽  
Vol 78 (9) ◽  
Author(s):  
Mostafa Karbasi ◽  
Sara Bilal ◽  
Reza Aghababaeyan ◽  
Abdolvahab Ehsani Rad ◽  
Zeeshan Bhatti ◽  
...  
Keyword(s):  
Background Noise ◽  
Depth Map ◽  
Depth Image ◽  
Shadow Removal ◽  
3D Image ◽  
High Quality ◽  
Depth Data ◽  
Different Types ◽  
Accuracy And Stability

Since the release of Kinect by Microsoft, the, accuracy and stability of Kinect data-such as depth map, has been essential and important element of research and data analysis. In order to develop efficient means of analyzing and using the kinnect data, researchers require high quality of depth data during the preprocessing step, which is very crucial for accurate results. One of the most important concerns of researchers is to eliminate image noise and convert image and video to the best quality. In this paper, different types of the noise for Kinect are analyzed and a unique technique is used, to reduce the background noise based on distance between Kinect devise and the user. Whereas, for shadow removal, the iterative method is used to eliminate the shadow casted by the Kinect. A 3D depth image is obtained as a result with good quality and accuracy. Further, the results of this present study reveal that the image background is eliminated completely and the 3D image quality in depth map has been enhanced.

Sign in / Sign up

Export Citation Format

Share Document