{"id":32401,"date":"2026-01-21T17:01:53","date_gmt":"2026-01-21T17:01:53","guid":{"rendered":"https:\/\/lamarr-institute.org\/publication\/compensating-motion-induced-errors-in-smartphone-based-vr-avatar-reconstruction\/"},"modified":"2026-09-17T11:24:00","modified_gmt":"2026-09-17T11:24:00","slug":"compensating-motion-induced-errors-in-smartphone-based-vr-avatar-reconstruction","status":"publish","type":"publication","link":"https:\/\/lamarr-institute.org\/de\/publication\/compensating-motion-induced-errors-in-smartphone-based-vr-avatar-reconstruction\/","title":{"rendered":"Compensating Motion-Induced Errors in Smartphone-Based VR Avatar Reconstruction"},"content":{"rendered":"<p>Recent developments in smartphone-based avatar reconstruction have made the creation of personalized and realistic avatars significantly more accessible. However, relying on one smartphone camera leads to capturing images sequentially, which introduces new challenges; particularly longer capture times increase the susceptibility to subject motion, which results in degraded reconstructions. We present a novel approach for smartphone-based avatar reconstruction that combines photogrammetry, silhouette constraints, and inverse rendering to produce high-fidelity, realistic avatars free of motion-induced artifacts. By using short, motion-resilient image sequences, referred to as sub-scans, we considerably reduce motion-induced artifacts. Our pipeline achieves high visual quality while offering improved robustness and outperforms current state-of-the-art methods in terms of computation time and accuracy.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Recent developments in smartphone-based avatar reconstruction have made the creation of personalized and realistic avatars significantly more accessible. However, relying on one smartphone camera leads to capturing images sequentially, which introduces new challenges; particularly longer capture times increase the susceptibility to subject motion, which results in degraded reconstructions. We present a novel approach for smartphone-based avatar reconstruction that combines photogrammetry, silhouette constraints, and inverse rendering to produce high-fidelity, realistic avatars [&hellip;]<\/p>\n","protected":false},"author":14,"featured_media":0,"template":"","meta":{"_acf_changed":false,"footnotes":""},"publication-type":[32],"class_list":["post-32401","publication","type-publication","status-publish","hentry","publication-type-inproceedings"],"acf":[],"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32401","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication"}],"about":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/types\/publication"}],"author":[{"embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/users\/14"}],"version-history":[{"count":0,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication\/32401\/revisions"}],"wp:attachment":[{"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/media?parent=32401"}],"wp:term":[{"taxonomy":"publication-type","embeddable":true,"href":"https:\/\/lamarr-institute.org\/de\/wp-json\/wp\/v2\/publication-type?post=32401"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}