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3D Voxel Coloring for Enhanced Multi-Person Reconstruction in Smart Control Rooms

This study explores a novel voxel coloring algorithm designed to improve 3D reconstruction of multiple individuals in a Smart Control Room setting. Utilizing multiple camera perspectives, the project addresses the challenges posed by noise in 3D data, which complicates the accurate coloring of voxels. The objective is to develop a robust algorithm that determines the correct color for each voxel based on inputs from all available camera images. The findings aim to enhance human-machine interaction through better visual representation in smart environments.

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3D Voxel Coloring for Enhanced Multi-Person Reconstruction in Smart Control Rooms

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  1. Prof. Dr.-Ing. Rainer Stiefelhagen Institut für Anthropomatik Forschungsbereich Maschinensehen für Mensch-Maschine Interaktion Fakultät für Informatik, Universität Karlsruhe (TH) 3D Voxel Coloring (Studienarbeit) • Current situation: • 3D reconstruction of multiple people in a SmartControlRoom using voxel carving • Multiple camera views of the same scene from different angles are available • Voxel coloring is challenging due to noise in 3D data • Goal: • Develop voxel coloring algorithm that computes the correct color for each voxel considering all camera images Contact: Alexander Schick, 0721-6091-348, alexander.schick@iitb.fraunhofer.de

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