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Automated Multi-Sensor 3D Reconstruction for the Web

Department of Built Environment, School of Engineering, Aalto University, FI-00076 Aalto, Finland
Finnish Geospatial Research Institute FGI, Geodeetinrinne 2, FI-02430 Masala, Finland
Author to whom correspondence should be addressed.
ISPRS Int. J. Geo-Inf. 2019, 8(5), 221;
Received: 21 March 2019 / Revised: 12 April 2019 / Accepted: 4 May 2019 / Published: 8 May 2019
PDF [5183 KB, uploaded 8 May 2019]


The Internet has become a major dissemination and sharing platform for 3D content. The utilization of 3D measurement methods can drastically increase the production efficiency of 3D content in an increasing number of use cases where 3D documentation of real-life objects or environments is required. We demonstrated a developed, highly automated and integrated content creation process of providing reality-based photorealistic 3D models for the web. Close-range photogrammetry, terrestrial laser scanning (TLS) and their combination are compared using available state-of-the-art tools in a real-life project setting with real-life limitations. Integrating photogrammetry and TLS is a good compromise for both geometric and texture quality. Compared to approaches using only photogrammetry or TLS, it is slower and more resource-heavy but combines complementary advantages of each method, such as direct scale determination from TLS or superior image quality typically used in photogrammetry. The integration is not only beneficial, but clearly productionally possible using available state-of-the-art tools that have become increasingly available also for non-expert users. Despite the high degree of automation, some manual editing steps are still required in practice to achieve satisfactory results in terms of adequate visual quality. This is mainly due to the current limitations of WebGL technology. View Full-Text
Keywords: 3D modeling; 3D reconstruction; laser scanning; photogrammetry; WebGL; web-based 3D; automation; integration; multi-sensor; photorealism 3D modeling; 3D reconstruction; laser scanning; photogrammetry; WebGL; web-based 3D; automation; integration; multi-sensor; photorealism

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Julin, A.; Jaalama, K.; Virtanen, J.-P.; Maksimainen, M.; Kurkela, M.; Hyyppä, J.; Hyyppä, H. Automated Multi-Sensor 3D Reconstruction for the Web. ISPRS Int. J. Geo-Inf. 2019, 8, 221.

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ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
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