| Full text | |
| Author(s): |
Ramirez Cornejo, Jadisha Yarif
;
Pedrini, Helio
Total Authors: 2
|
| Document type: | Journal article |
| Source: | PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2018; v. 11401, p. 8-pg., 2019-01-01. |
| Abstract | |
In this work, we analyze facial abnormalities in people diagnosed with different genetic disorders through deep features and anthropometric measurements. Based on the assumption that patients with distinct genetic conditions present significant differences in facial morphology, we conjecture that such facial patterns and geometric distances could help in the detection of certain syndromes. Experiments conducted on an available dataset demonstrate the effectiveness of the proposed recognition methodology. (AU) | |
| FAPESP's process: | 17/12646-3 - Déjà vu: feature-space-time coherence from heterogeneous data for media integrity analytics and interpretation of events |
| Grantee: | Anderson de Rezende Rocha |
| Support Opportunities: | Research Projects - Thematic Grants |