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Meida Chen

Affiliation

University of Southern California Institute for Creative Technologies

Showing 1 - 6 of 6

Fully Automated Photogrammetric Data Segmentation and Object Information Extraction Approach for Creating Simulation Terrain

Meida Chen; Andrew Feng; Kyle McCullough; Pratusha Bhuvana-Prasad; Ryan McAlinden & Lucio Soibelman

Publication Year: 2019

Part of: Best Paper Session 2

Abstract

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Semantic Segmentation and Data Fusion of Microsoft Bing 3D Cities and Small UAV-based Photogrammetric Data

Meida Chen; Andrew Feng; Kyle McCullough; Pratusha Bhuvana-Prasad; Ryan McAlinden & Lucio Soibelman

Publication Year: 2020

Part of: SIM 4: It's just semantics…

Abstract

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Generating Synthetic Photogrammetric Data for Training Deep Learning based 3D Point Cloud Segmentation Models

Meida Chen; Andrew Feng; Kyle McCullough; Pratusha Bhuvana-Prasad; Ryan McAlinden & Lucio Soibelman

Publication Year: 2020

Part of: SIM 4: It's just semantics…

Abstract

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Utilizing Satellite Imagery Datasets and Machine Learning Data Models to Evaluate Infrastructure Change in Undeveloped Regions

Kyle McCullough; Meida Chen; Andrew Feng & Ryan McAlinden

Publication Year: 2020

Part of: ECIT 3: AI-Enhanced Synthetic Environments

Abstract

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Ground Material Segmentation for UAV-based Photogrammetric 3D Data: A 2D-3D Hybrid Approach

Meida Chen; Andrew Feng; Yu Hou; Kyle McCullough; Pratusha Bhuvana-Prasad & Lucio Soibelman

Publication Year: 2021

Part of: SIM4: Integrated Creative Terrain Simulation

Abstract

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Open-Vocabulary High-Resolution 3D (OVHR3D) Data Segmentation and Annotation Framework

Jiuyi Xu; Meida Chen; Andrew Feng; Yangming Shi & Zifan Yu

Publication Year: 2024

Part of: SIM 4: Multi-Domain Simulation

Abstract

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