{"date_created":"2024-10-15T11:20:54Z","type":"conference","scopus_import":"1","date_updated":"2024-12-02T14:51:08Z","month":"01","doi":"10.1007/978-3-540-24671-8_18","extern":"1","year":"2004","publication_identifier":{"issn":["0302-9743"],"eissn":["1611-3349","9783540246718"],"isbn":["9783540219835"]},"page":"225–237","author":[{"last_name":"Bronstein","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","full_name":"Bronstein, Alexander","orcid":"0000-0001-9699-8730","first_name":"Alexander"},{"first_name":"Michael M.","full_name":"Bronstein, Michael M.","last_name":"Bronstein"},{"full_name":"Spira, Alon","first_name":"Alon","last_name":"Spira"},{"last_name":"Kimmel","first_name":"Ron","full_name":"Kimmel, Ron"}],"volume":3022,"publication":"8th European Conference on Computer Vision","language":[{"iso":"eng"}],"publication_status":"published","conference":{"location":"Prageu, Czech Republic","name":"ECCV: European Conference on Computer Vision","end_date":"2004-05-14","start_date":"2004-05-11"},"title":"Face recognition from facial surface metric","oa_version":"None","alternative_title":["LNCS"],"date_published":"2004-01-01T00:00:00Z","publisher":"Springer Nature","user_id":"ea97e931-d5af-11eb-85d4-e6957dddbf17","citation":{"ista":"Bronstein AM, Bronstein MM, Spira A, Kimmel R. 2004. Face recognition from facial surface metric. 8th European Conference on Computer Vision. ECCV: European Conference on Computer Vision, LNCS, vol. 3022, 225–237.","short":"A.M. Bronstein, M.M. Bronstein, A. Spira, R. Kimmel, in:, 8th European Conference on Computer Vision, Springer Nature, 2004, pp. 225–237.","ieee":"A. M. Bronstein, M. M. Bronstein, A. Spira, and R. Kimmel, “Face recognition from facial surface metric,” in <i>8th European Conference on Computer Vision</i>, Prageu, Czech Republic, 2004, vol. 3022, pp. 225–237.","ama":"Bronstein AM, Bronstein MM, Spira A, Kimmel R. Face recognition from facial surface metric. In: <i>8th European Conference on Computer Vision</i>. Vol 3022. Springer Nature; 2004:225–237. doi:<a href=\"https://doi.org/10.1007/978-3-540-24671-8_18\">10.1007/978-3-540-24671-8_18</a>","mla":"Bronstein, Alex M., et al. “Face Recognition from Facial Surface Metric.” <i>8th European Conference on Computer Vision</i>, vol. 3022, Springer Nature, 2004, pp. 225–237, doi:<a href=\"https://doi.org/10.1007/978-3-540-24671-8_18\">10.1007/978-3-540-24671-8_18</a>.","apa":"Bronstein, A. M., Bronstein, M. M., Spira, A., &#38; Kimmel, R. (2004). Face recognition from facial surface metric. In <i>8th European Conference on Computer Vision</i> (Vol. 3022, pp. 225–237). Prageu, Czech Republic: Springer Nature. <a href=\"https://doi.org/10.1007/978-3-540-24671-8_18\">https://doi.org/10.1007/978-3-540-24671-8_18</a>","chicago":"Bronstein, Alex M., Michael M. Bronstein, Alon Spira, and Ron Kimmel. “Face Recognition from Facial Surface Metric.” In <i>8th European Conference on Computer Vision</i>, 3022:225–237. Springer Nature, 2004. <a href=\"https://doi.org/10.1007/978-3-540-24671-8_18\">https://doi.org/10.1007/978-3-540-24671-8_18</a>."},"abstract":[{"text":"Recently, a 3D face recognition approach based on geometric invariant signatures, has been proposed. The key idea is a representation of the facial surface, invariant to isometric deformations, such as those resulting from facial expressions. One important stage in the construction of the geometric invariants involves in measuring geodesic distances on triangulated surfaces, which is carried out by the fast marching on triangulated domains algorithm.\r\n\r\nProposed here is a method that uses only the metric tensor of the surface for geodesic distance computation. That is, the explicit integration of the surface in 3D from its gradients is not needed for the recognition task. It enables the use of simple and cost-efficient 3D acquisition techniques such as photometric stereo. Avoiding the explicit surface reconstruction stage saves computational time and reduces numerical errors.","lang":"eng"}],"article_processing_charge":"No","intvolume":"      3022","quality_controlled":"1","status":"public","_id":"18331"}