Titlebook: 3D Imaging, Analysis and Applications; Yonghuai Liu,Nick Pears,Patrik Huber Textbook 2020Latest edition Springer Nature Switzerland AG 202

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A. Scardigli,R. Arpa,A. Chiarini,H. Telibnd powerful 3D analyzing algorithms. Inspired by the success of deep learning on understanding images, audio, and texts, and backed by growing amounts of available 3D data and annotated 3D datasets, a new field that studies deep learning on 3D data has arisen recently. However, unlike images or audi

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Jan Christian Hückelheim,Jens-Dominik Müller recognition. However, typical compact-baseline, triangulation-based 3D capture systems are generally only suitable for close-range applications. The 3D shape may be used alone, or in combination with simultaneously captured, standard 2D color images in multimodal 2D/3D face recognition. Like its 2D

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https://doi.org/10.1007/978-3-030-44070-13D Imaging; 3D Shape Analysis; 3D Shape Processing; 3D Shape Modelling; 3D Depth Cameras

符合國情

978-3-030-44072-5Springer Nature Switzerland AG 2020

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Left-Atrium

Front Matter of luteinizing hormone-releasing hormone (LH-RH). Researchers at Takeda Pharmaceutical synthesized the active ingredient using the characterized primary structure of thyrotropin-releasing hormone (TRH) and LH-RH as a model, both discovered within academia. Their research was aided partly by luck an

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Introduction,ouse models of pancreatic cancer. These models utilize the human pancreatic cancer cell lines which have been genetically engineered to selectively express high levels of green fluorescent protein (GFP) or red fluorescent protein (RFP). Fluorescent tumors are established subcutaneously in nude mice,