Fusion of Stereo Vision for Enhanced Disparity Mapping
The fusion of stereo vision presented by Hualong Huang aims to improve disparity mapping by combining different up-sampling methods. The goal is to enhance the quality of disparity maps through the integration of active and passive sensors, resulting in both high-resolution and low-resolution maps. The research emphasizes the need for better results beyond existing methods, highlighting the potential for a more effective disparity mapping approach.
Download Presentation
Please find below an Image/Link to download the presentation.
The content on the website is provided AS IS for your information and personal use only. It may not be sold, licensed, or shared on other websites without obtaining consent from the author. Download presentation by click this link. If you encounter any issues during the download, it is possible that the publisher has removed the file from their server.
E N D
Presentation Transcript
Fusion of Stereo Vision Presenter: Hualong Huang 2015/09/25 Email:254793159@qq.com 1 NAME OF PRESENTER 1 I
Stereo vision left RGB image right RGB image 2 NAME OF PRESENTER 2 I
Stereo vision left disparity map right disparity map 3 NAME OF PRESENTER 3 I
Fusion of active and passive sensors high-resolution disparity map Low-resolution disparity map 4 NAME OF PRESENTER 4 I
The content of our research 1. There are some up-sampling methods which can achieve favorable results, but these result are still not good enough. 2. Our goal is to fusion these methods to produce a better disparity map. 5 NAME OF PRESENTER 5 I
