vriphys17

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https://diglib.eg.org/handle/10.2312/2631244

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Browsing vriphys17 by Subject "Animation"

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    Kernel Projection of Latent Structures Regression for Facial Animation Retargeting
    (The Eurographics Association, 2017) Ouzounis, Christos; Kilias, Alex; Mousas, Christos; Fabrice Jaillet and Florence Zara
    Inspired by kernel methods that have been used extensively in achieving efficient facial animation retargeting, this paper presents a solution to retargeting facial animation in virtual character's face model based on the kernel projection of latent structure (KPLS) regression between semantically similar facial expressions. Specifically, a given number of corresponding semantically similar facial expressions are projected into the latent space. By using the Nonlinear Iterative Partial Least Square method, decomposition of the latent variables is achieved. Finally, the KPLS is achieved by solving a kernalized version of the eigenvalue problem. By evaluating our methodology with other kernel-based solutions, the efficiency of the presented methodology in transferring facial animation to face models with different morphological variations is demonstrated.
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    See-through Visualisation for Training and Assessing Unsighted Physical Examinations
    (The Eurographics Association, 2017) Granados, Alejandro; Perhac, Jan; Rosby, Lucy Victoria; Lee, Yee Mun; Tan, Glenn Wei Leong; Tan, Tai Chi; Higham, Jenny; Thalmann, Nadia; Low-Beer, Naomi; Bello, Fernando; Fabrice Jaillet and Florence Zara
    Objective: Motivated by the limitations of being unable to provide feedback and adequately assess technical skills whilst training unsighted physical examinations, such as Digital Rectal Examinations (DRE), we present a see-through visualisation system that can be used with benchtop models widely available in medical schools. Methods: We use position and pressure sensors located on the examining finger and have implemented a Virtual Reality (VR) simulation learning tool consisting of registered 3D models of the benchtop, augmented with relevant surrounding pelvic anatomy. The proposed system was evaluated with six medical students and eleven consultants. Results: The system is stable, runs in real time, uses unobtrusive sensor coils and pads, is able to capture data from sensors at 40Hz and adequately translates and rotates the position of the examining finger aligned to the 3D models of the benchtop and surrounding anatomy. Both medical students and consultants recognised the educational value of being able to see-through and visualise surrounding relevant anatomy. Although novices are reported to be the group that could benefit the most from our system, it is crucial not to be over reliant on visual cues for too long and to develop a strategy for the adequate use of the see-through system. Conclusions: The proposed VR simulation system is intended to improve the experience of novices learning unsighted examinations by providing real-time feedback and visualisation, allowing trainees to reflect on their performance and permitting more adequate assessment of technical skills.