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.
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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
