Age Model

80% of testers consider the 80% of preliminary is the youngest face but also mention that there are some artifacts like a skewed nose which will affect judgement. We also ask testers to estimate the age of each face. The best result is 80% of preliminary, and it is thought be 28.63 years younger than original faces on an average. Figure 6.6 is our result

Figure 6.4: The summary of user study of all three facial model de-aging/beautification.

Beauty Age Age

20 15 10 5 0

People who give the best score to 80% preliminary People who give the best score to 50% preliminary People who give the best score to 30% preliminary People who give the best score to original face

of user study.

Many testers consider this set as distinguishable. There are only slightly differences among faces and is hard to tell which is much younger. For the youngest face which is 80% preliminary, it is thought to be 6.1 years younger than original face on an average.

We demonstrate this case in Figure 6.7.

Figure 6.5: The beauty score which is ranked by users. The lower score means more attractive.

Figure 6.6: The average age score which is ranked by users. The lower score means younger.

Figure 6.7: Another case for our de-aging process.

Chapter 7

Conclusion and Future Work

Human beings are born with the desire to be beautiful. No matter men or women, we all wish to be younger and prettier. Human project these desire on many sides. We try to look younger in the real world and this makes cosmetic industry flourish. We try to be looking prettier in the virtual world such as the internet social website which makes entertainment industry such popularity. Due to the different goal of process, de-aging and enhance fa-cial attractiveness in academy researches can be considered from many different points of view. For example, Aging or de-aging researches for forensic medicine focus on the precision of predicting output while for entertainment purpose the accuracy of aging tra-jectory can be more tolerant. The result of aging/de-aging process does not need to be exactly the same as his/her old/young looking. A good looking or a dramatic older effect may be better than the true appearance. Because of the limitation of technology, most research in the past works on 2D which is photos and images. Researches point out that after adulthood the craniofacial will rarely change their shape, so in the past 2D facial de-aging works aim for removing wrinkles on the faces. The slack skin may not change the shape of craniofacial but it will change the outline of faces. Removing only wrinkles on the face will cause inconsistent facial characteristic, which makes result face unreal and creepy.

In this paper, we propose a de-aging and enhance facial attractiveness framework

based on 3D high-resolution facial model. In order to make the final result as consistent as possible with the original face, we ensure our rejuvenating process to focus on the outline which is the geometry part of a 3D model. The improvement of facial age perception or attractiveness can be displayed as both frontal portrait and profile view. For every input face, we provide a possible result of younger and prettier face while keeping the similarity to the original and producing results. By the improvement of shape analysis, we can search for a new viewpoint about age estimation and facial attractiveness researches.

The database plays a major role of age related researches and so as on the human facial perception field. While more and more 2D image databases have been established, 3D facial model database is relatively rare. Thanks to the great progress of facial model-ing technology today, we can generate our personal facial model easier than in the past.

More 3D facial model will be generated and collected which provide researchers more information to reference.

Since we now only process on the geometry of model, adding other non-geometry feature such as texture color into our framework should be an interesting consideration.

Many users point out that no matter the face is young/pretty or not, if the texture or other part of a head doesn’t match the perception of face, they would not give him/her a good score because of the creepy feeling. We believe that this is when uncanny valley happens. Considering both texture and geometry at the same time should decrease the uncomfortable feeling.

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RESUME

黃詩晏

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