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Chapter and Conference Paper
Enhancing Ancient Architecture Virtual Learning Tour Through Virtual Embodiment: Impact on Immersion, Engagement, and Learning Outcomes
The integration of digital learning and ICT in architectural design education, particularly in studying ancient architecture, has been transformative. This study focuses on how virtual embodiment in VR affects...
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Article
Incremental Rotation Averaging
In this paper, we present a simple yet effective rotation averaging pipeline, termed Incremental Rotation Averaging (IRA), which is inspired by the well-developed incremental Structure from Motion (SfM) techni...
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Article
Open AccessScalable point cloud meshing for image-based large-scale 3D modeling
Image-based 3D modeling is an effective method for reconstructing large-scale scenes, especially city-level scenarios. In the image-based modeling pipeline, obtaining a watertight mesh model from a noisy multi...
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Chapter and Conference Paper
Large Scale Urban Scene Modeling from MVS Meshes
In this paper we present an efficient modeling framework for large scale urban scenes. Taking surface meshes derived from multi-view-stereo systems as input, our algorithm outputs simplified models with semant...
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Chapter and Conference Paper
A New Visibility Model for Surface Reconstruction
In this paper, we propose a new visibility model for scene reconstruction. To yield out surface meshes with enough scene details, we introduce a new visibility model, which keeps the relaxed visibility constra...
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Article
Global fusion of generalized camera model for efficient large-scale structure from motion
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全局式融合广义摄像机模型重建大规模城市街景和倾斜摄影数据, 使得误差均摊在整个外极几何图, 不存在因为误差累积而造成的场景漂移。
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Chapter and Conference Paper
Fusion of Auxiliary Imaging Information for Robust, Scalable and Fast 3D Reconstruction
One of the potentially effective means for 3D reconstruction is to reconstruct the scene in a global manner, rather than incrementally, by fully exploiting available auxiliary information on imaging condition,...
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Chapter and Conference Paper
Monocular Template-Based Tracking of Inextensible Deformable Surfaces under L 2-Norm
We present a method for recovering the 3D shape of an inextensible deformable surface from a monocular image sequence. State-of-the-art method on this problem [1] utilizes L ∞ -norm of reprojecti...
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Chapter and Conference Paper
Probability Evolutionary Algorithm Based Human Body Tracking
A novel evolutionary algorithm called Probability Evolutionary Algorithm (PEA), and a method based on PEA for visual tracking of human body are presented. PEA is inspired by the Quantum computation and the Qua...
