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The impact of stylization on face recognition

Nicolas Olivier 1, 2 Ludovic Hoyet 2 Ferran Argelaguet 3 Fabien Danieau 1 Quentin Avril 1 Philippe Guillotel 1 Anatole Lécuyer 3 Franck Multon 2, 4 
2 MIMETIC - Analysis-Synthesis Approach for Virtual Human Simulation
UR2 - Université de Rennes 2, Inria Rennes – Bretagne Atlantique , IRISA-D6 - MEDIA ET INTERACTIONS
3 Hybrid - 3D interaction with virtual environments using body and mind
Inria Rennes – Bretagne Atlantique , IRISA-D6 - MEDIA ET INTERACTIONS
Abstract : While digital humans are key aspects of the rapidly evolving areas of virtual reality, gaming, and online communications, many applications would benefit from using digital personalized (stylized) representations of users, as they were shown to highly increase immersion, presence and emotional response. In particular, depending on the target application, one may want to look like a dwarf or an elf in a heroic fantasy world, or like an alien on another planet, in accordance with the style of the narrative. While creating such virtual replicas requires stylization of the user’s features onto the virtual character, no formal study has however been conducted to assess the ability to recognize stylized characters. In this paper, we present a perceptual study investigating the effect of the degree of stylization on the ability to recognize an actor, and the subjective acceptability of stylizations. Results show that recognition rates decrease when the degree of stylization increases, while acceptability of the stylization increases. These results provide recommendations to achieve good compromises between stylization and recognition, and pave the way to new stylization methods providing a tradeoff between stylization and recognition of the actor.
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Submitted on : Friday, November 27, 2020 - 12:19:00 PM
Last modification on : Thursday, September 1, 2022 - 3:58:47 AM
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Nicolas Olivier, Ludovic Hoyet, Ferran Argelaguet, Fabien Danieau, Quentin Avril, et al.. The impact of stylization on face recognition. SAP 2020 - ACM Symposium on Applied Perception, Sep 2020, Virtual, United States. pp.1-9, ⟨10.1145/3385955.3407930⟩. ⟨hal-02951833⟩



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