Download Articulated Motion and Deformable Objects: 8th International by Francisco José Perales, José Santos-Victor PDF

By Francisco José Perales, José Santos-Victor

This e-book constitutes the refereed lawsuits of the eighth foreign convention on Articulated movement and Deformable items, AMDO 2014, held in Palma de Mallorca, Spain, in July 2014. The 18 papers awarded have been rigorously reviewed and chosen from 37 submissions. The convention handled the subsequent themes: geometric and actual deformable versions; movement research; articulated versions and animation; modeling and visualization of deformable types; deformable version functions; movement research purposes; unmarried or a number of human movement research and synthesis; face modeling, monitoring, convalescing and popularity versions; digital and augmented fact; haptics units; biometric techniques.

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Additional info for Articulated Motion and Deformable Objects: 8th International Conference, AMDO 2014, Palma de Mallorca, Spain, July 16-18, 2014. Proceedings

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In: IEEE CVPR, pp. 1014–1021 (2009) 5. : Pictorial structures for object recognition. IJCV 61(1), 55–79 (2005) 6. : The representation and matching of pictorial structures. IEEE Transactions on Computers 22(1), 67–92 (1973) 7. : 3d pictorial structures for multiple human pose estimation. In: IEEE CVPR (2014) 8. : Learning effective human pose estimation from inaccurate annotation. In: IEEE CVPR, pp. 1465–1472 (2011) 9. : Recovering 3d human pose from monocular images. TPAMI 28(1), 44–58 (2006) 10.

Overmars, M. ) MIG 2009. LNCS, vol. 5884, pp. 53–62. Springer, Heidelberg (2009) 15. : Appraising emotional events during a realtime interactive game. In: AFFINE 2009, pp. 7:1–7:5. ACM, New York (2009) 16. : Designing Avatars for Social Interactions. , Aylett, R. ) Animating Expressive Characters for Social Interaction. Advances in Consciousness Research Series, Benjamins Publishing (2008) 17. : Emotionalisierung interaktiver Virtueller Charaktere. Dissertation, Universit¨ at des Saarlandes (2007) 18.

It has a wide range of potential applications such as surveillance, health care and human computer interaction. Real life applications involve a huge amount of human appearance variations. Furthermore, out of studio environments usually include dynamic background and clutter. To address these challenges, most of the recent work relies on modelling the human body from an ensemble of parts [2,3]. There are two main categories of approaches in human pose estimation: holistic and part-based. In both categories, the human pose is defined in terms of a body skeleton which is composed of a number of connected joints.

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