1,721,033 research outputs found
Non-Invasive Three-Dimensional Facial Morphometry: Analysis of 3 Cases before and after Rapid Palatal Expansion
No full textAims: The aim of this work was to apply a new three-dimensional non-invasive methodology to precisely detect the variation that is determined at the level of the soft tissues of the face following the application of a rapid palatal expander appliance.
Materials & Methods: Here are reported the data of three patients in mixed dentition and affected by an altered transversal development of the upper arch and the upper jaw that have been subjected to interceptive orthodontic treatment through the application of a transverse rapid palatal expander. The initial diagnostic phase was supported by: conventional orthodontic check (Orthopantomography, Telecranio latero-lateral, plaster models, 2D photographs); 3D photogrammetric scans of soft tissues of the face at rest; processing of 3D digital models. analysis through color maps and contour lines of the characteristics of the soft tissues of the face before and after the rapid expansion. The analysis of the patient was made by the use of color maps and contour lines to detect the variation of the facial soft tissue shape before (Time 0) and after (Time 1) before and after rapid palatal expansion.
Results & Conclusions: The color maps and contour lines analysis on digital models of the face before and after the therapy allowed to detect the slightest variations occurred on the facial soft tissues of the patients
New 3D digitizer for human faces based on digital close range photogrammetry: Application to face symmetry analysis
No full textThe aim of this paper is a preliminary presentation of a new 3D digitizing system aimed to measure the facial soft tissue structures, useful for diagnostics and for the monitoring of therapies in medical and orthodontic applications. The system is based on Digital Close Range Photogrammetry with a brand new equipment, designed for use in small doctors' offices. The scanner provides accuracy and reliability, is not invasive and very compact, simple and easy for physicians and doctors. Fields of choice for this type of diagnostic facial systems are orthodontics, maxillofacial surgery, as well as cosmetic medicine and surgery. Examples of digitizing and processing aimed to face symmetry analysis are illustrate
Is principal component analysis an effective tool to predict face attractiveness? A contribution based on real 3D faces of highly selected attractive women, scanned with stereophotogrammetry
No full textIn the literature several papers report studies on mathematical models used to describe facial features and to predict female facial beauty based on 3D human face data. Many authors have proposed the Principal Component Analysis method that permits modeling of the entire human face using a limited number of parameters. In some cases, these models have been correlated with beauty classifications obtaining good attractiveness predictability using wrapped 2D or 3D models. To verify these results, in this paper the authors conducted a three-dimensional digitization study of 66 very attractive female subjects using a computerized non-invasive tool known as 3D digital photogrammetry. The sample consisted of the 64 contestants of the final phase of the Miss Italy 2010 beauty contest, plus the two highest ranked contestants in the 2009 competition. Principal Component Analysis (PCA) was conducted on this real faces sample to verify if there is a correlation between ranking and the principal components of the face models. There was no correlation and therefore this hypothesis is not confirmed for our sample. Considering that the results of the contest are not only solely a function of facial attractiveness, but undoubtedly are significantly impacted by it, the authors based on their experience and real faces conclude that PCA analysis is not a valid prediction tool for attractiveness. The database of the features belonging to the sample analyzed are downloadable online and further contributions are welcome
3D Facial Landmark Models for Soft Tissue Analysis with The 3D 3Cameras StereoPhotogrammetry
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Automated tracking of facial landmarks to produce 3D animated accurate models of the mouth opening and closure movements, using stereophotogrammetry
No full textAnalisi con punti di repere sui tessuti molli di modelli 3D del viso con il metodo stereo fotogrammetrico 3D 3Cameras
No full textPossibilities and limits of different experimental approaches of the 3D3C Photogrammetry Method for 3D analysis of the face
No full textIntroduzione: Il lavoro di ricerca sperimentale volto a definire un metodo fotografico 3D con particolari caratteristiche (precisione della misura; robustezza del metodo; rapidità di rilievo; facilità di ripresa; trasportabilità e basso peso; economicità del sistema finale; non invasività) per la rilevazione e misura senza contatto dei tessuti molli del volto, ha condotto a varie soluzioni di set-up sperimentali. Scopo della Ricerca: In questo lavoro si mettono in luce i vantaggi e gli svantaggi dei diversi set-up progettati durante la sperimentazione, confrontandoli tra loro per individuare quello che risponde meglio alle caratteristiche sopra elencate. Materiali e Metodi: Sono state progettate due tipologie diverse di approccio fotogrammetrico (con griglie proiettate e con target applicati), con cui sono sono stati scansionati sia volti reali che la testa di un manichino. Nell’ambito di ciascuna tipologia sono state sperimentate alcune varianti , modificando le condizioni di proiezione, luce, ripresa, ecc, per valutarne le differenze. Inoltre i risultati ottenuti da ciascun approccio sono stati confrontati con quelli ottenuti con la Scansione Laser (sia su volto reale che su manichino) di cui sono già note le prestazioni. Risultati: L’approccio con coded target applicati direttamente sul volto, luce ambiente, sensori fotovideo-digitali da 10 megapixel, scatti sincronizzati tra le 3 macchine, l’uso di software commerciali Photomodeler (per la ricostruzione CAD del volto) e Geomagic (per misure e confronti) si è rivelato essere quello che risponde meglio alle richieste poste alla metodica. Conclusioni: L’evoluzione della metodica a 3 macchine fotografiche ha consentito di raggiungere standard di prestazioni già molto soddisfacenti. L’ulteriore evoluzione della metodica potrebbe essere a 4 o più macchine fotografiche, in modo da ottimizzarne ulteriormente le prestazion
Nuove tecniche diagnostiche 3D di superficie in Medicina Estetica ed Ortognatodonzia mediante fotogrammetria digitale
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