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This article is cited in 1 scientific paper (total in 1 paper)
IMAGE PROCESSING, PATTERN RECOGNITION
Head model reconstruction and animation method using color image with depth information
Y. K. Kozlovaa, V. V. Myasnikovab a Samara National Research University
b Image Processing Systems Institute of the RAS - Branch of the FSRC "Crystallography and Photonics" RAS, Samara, Russia, Samara
Abstract:
The article presents a method for reconstructing and animating a digital model of a human head from a single RGBD image, a color RGB image with depth information. An approach is proposed for optimizing the parametric FLAME model using a point cloud of a face corresponding to a sin-gle RGBD image. The results of experimental studies have shown that the proposed optimization approach makes it possible to obtain a head model with more prominent features of the original face compared to optimization approaches using RGB images or the same approaches generalized to RGBD images.
Keywords:
3D reconstruction, 3D animation, virtual reality, augmented reality, FLAME, RGB image, depth information, RGBD, point cloud, optimization
Received: 05.05.2023 Accepted: 13.08.2023
Citation:
Y. K. Kozlova, V. V. Myasnikov, “Head model reconstruction and animation method using color image with depth information”, Computer Optics, 48:1 (2024), 118–122
Linking options:
https://www.mathnet.ru/eng/co1219 https://www.mathnet.ru/eng/co/v48/i1/p118
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