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Dynamic Multi-View Scene Reconstruction Using Neural Implicit Surface

Autor: Chen, Decai, Lu, Haofei, Feldmann, Ingo, Schreer, Oliver, Eisert, Peter

Reconstructing general dynamic scenes is important for many computer vision and graphics applications. Recent works represent the dynamic scene with neural radiance fields for photorealistic view synthesis, while their surface geometry is under-const

Externí odkaz: http://arxiv.org/abs/2303.00050

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Recovering Fine Details for Neural Implicit Surface Reconstruction

Autor: Chen, Decai, Zhang, Peng, Feldmann, Ingo, Schreer, Oliver, Eisert, Peter

Recent works on implicit neural representations have made significant strides. Learning implicit neural surfaces using volume rendering has gained popularity in multi-view reconstruction without 3D supervision. However, accurately recovering fine det

Externí odkaz: http://arxiv.org/abs/2211.11320

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Accurate Human Body Reconstruction for Volumetric Video

Autor: Chen, Decai, Worchel, Markus, Feldmann, Ingo, Schreer, Oliver, Eisert, Peter

In this work, we enhance a professional end-to-end volumetric video production pipeline to achieve high-fidelity human body reconstruction using only passive cameras. While current volumetric video approaches estimate depth maps using traditional ste

Externí odkaz: http://arxiv.org/abs/2202.13118

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Akademický článek

Concordane of OSTA and lumbar spine BMD by DXA in identifying risk of osteoporosis

Autor: Cai YunHua, Chen DeCai, Lu ChunYan, Wei SongQuan

Publikováno v: Journal of Orthopaedic Surgery and Research, Vol 1, Iss 1, p 14 (2006)

Abstract Objective To investigate the accuracy of Osteoporosis Self-assessment Tool for Asians (OSTA) in identifying the risk of osteoporosis in postmenopausal women. To validate use of OSTA risk index by comparing it with the bone mineral density (B

Externí odkaz: https://doaj.org/article/18d3c6c741d248cc88c3efd22f93f45e