Arko, Shadman Shahriar HasanHossain, Md TamjidDipto, Shakib MahmudShad, Samiul IslamAlam, Md Ashraful2026-08-112026-08-112021-01-01S. S. H. Arko, M. T. Hossain, S. M. Dipto, S. I. Shad and M. A. Alam, "Real world objects augmentation in virtual 3D environment RealSense SDK, Deep Learning and Game Engine," 2021 IEEE Asia-Pacific Conference on Computer Science and Data Engineering (CSDE), Brisbane, Australia, 2021, pp. 1-6, doi: 10.1109/CSDE53843.2021.9718388.97816654955232-s2.0-85127894252https://hdl.handle.net/10361/28958We propose and demonstrate an approach for real world objects augmentation in a virtual 3D environment using deep neural networks and game engine. The proposed system consists of three basic parts: acquisition, processing and visualization with VR. The processing unit comprises translation of 2D to 3D images of real world objects and augmentation of the real world object in a virtual environment with unity. Through deep learning and RealSense SDK, skeleton data is achieved which helps augment the real world 3D object into a virtual environment in unity. The proposed system enables real-time augmentation of the real world objects in a virtual 3D environment created in unity game engine. Therefore, the system allows users developing mixed reality applications for real life problem solving.6 Pagesen-USDepth imageMachine learningVirtual environmentsMachine learningSolid modelingReal senseVirtual reality.Image processing—Digital techniques.Neural networks (Computer science).Conference Proceeding10.1109/CSDE53843.2021.9718388