By Francisco José Perales, Josef Kittler
This publication constitutes the refereed court cases of the ninth foreign convention on Articulated movement and Deformable items, AMDO 2016, held in Palma de Mallorca, Spain, in July 2016.The 20 papers offered have been conscientiously reviewed and chosen from 34 submissions. The convention handled the subsequent issues: complex special effects and immersive videogames; human modeling and animation; human movement research and monitoring; 3D human reconstruction and popularity; multimodal consumer interplay and purposes; ubiquitous and social computing; layout instruments; enter know-how; programming person interfaces; 3D clinical deformable versions and visualization; deep studying equipment for computing device imaginative and prescient and portraits; multibiometric.
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Extra resources for Articulated Motion and Deformable Objects: 9th International Conference, AMDO 2016, Palma de Mallorca, Spain, July 13-15, 2016, Proceedings
Visual and multimodal analysis of human spontaneous behaviour 3. : Machine recognition and representation of neonatal facial displays of acute pain. Artif. Intell. Med. 36(3), 211–222 (2006) 4. : Automated detection of pain from facial expressions: a rule-based approach using aam. In: SPIE Medical Imaging, p. 83143O. International Society for Optics and Photonics (2012) 5. : Three-dimensional nth derivative of gaussian separable steerable ﬁlters. In: IEEE International Conference on Image Processing, 2005, ICIP 2005, vol.
Keywords: Head-pose estimation · Random forest · Real-time · In-thewild 1 Introduction Head-pose estimation is an essential preprocessing step for accurately inferring many facial attributes, such as age, gender, race, identity or facial expression. Additionally, head-pose is also used in other contexts, such as identifying social interactions [9,14], focus of attention [1,17], or gaze estimation . By estimating the head-pose, we mean predicting the relative orientation between the viewer and the target head.
IEEE Trans. Pattern Anal. Mach. Intell. 31(4), 607–626 (2009) 16. : Estimating head pose with neural networks. In: Proceedings of International Conference on Pattern Recognition Workshops (ICPRW) (2004) 17. : On the relationship between head pose, social attention and personality prediction for unstructured and dynamic group interactions. In: Proceedings of International Conference on Multimodal Interaction (2013) 18. : Head pose estimation in the wild using approximate view manifolds. In: Proceedings of Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2015) 19.