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This paper presents a novel 3D point cloud reconstruction method that integrates structure from motion (SfM) with entropy\u2010based noise filtering prior to feature point extraction, thereby enhancing the richness of epipolar geometry. An entropy bundle adjustment (BA) is proposed to further improve the precision of 3D point cloud generation. The proposed reconstructed model is integrated into Unreal Engine, enabling rendering with highly realistic visual effects. In a series of comparative experiments, the proposed method demonstrated significant improvements over existing approaches in terms of point cloud density, as well as the quality and uniformity of the corresponding 3D reconstructions, thereby opening new possibilities for enhancing the realism and practical applicability of simulation and visualization.<\/jats:p>","DOI":"10.1049\/ipr2.70229","type":"journal-article","created":{"date-parts":[[2025,10,17]],"date-time":"2025-10-17T10:39:48Z","timestamp":1760697588000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Combining Density Entropy Calculation With Structure From Motion for Indoor Image 3D Point Cloud Modeling and Rendering Reconstruction in Unreal Engine"],"prefix":"10.1049","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8332-768X","authenticated-orcid":false,"given":"Jim\u2010Wei","family":"Wu","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering National Central University  Taoyuan City Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ko\u2010Fan","family":"Teng","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering National Central University  Taoyuan City Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jia\u2010Cheng","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering National Central University  Taoyuan City Taiwan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"265","published-online":{"date-parts":[[2025,10,17]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3156820"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2024.3362635"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSEN.2025.3546981"},{"key":"e_1_2_10_5_1","article-title":"Robust Underwater Laser Line Scanning System via Advanced Laser Line Extraction","volume":"74","author":"Shi Z.","year":"2025","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"e_1_2_10_6_1","doi-asserted-by":"crossref","unstructured":"K.Zhang Y.Liang andG.Li \u201cAn Accelerated Algorithm for 3D Reconstruction of Groove Structure Based on Parallel Light and White Light Interference \u201d inInternational Conference of Optical Imaging and Measurement (ICOIM) (2021) https:\/\/doi.org\/10.1109\/ICOIM52180.2021.9524424.","DOI":"10.1109\/ICOIM52180.2021.9524424"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2023.3266727"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:VISI.0000029664.99615.94"},{"key":"e_1_2_10_9_1","doi-asserted-by":"crossref","unstructured":"E.RostenandT.Drummond \u201cMachine Learning for High\u2010Speed Corner Detection\u201d inEuropean Conference on Computer Vision(2006):430\u2013443.","DOI":"10.1007\/11744023_34"},{"key":"e_1_2_10_10_1","doi-asserted-by":"crossref","unstructured":"P. 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