Large Angle based Skeleton Extraction for 3D Animation

نویسندگان

  • Hugo Martin
  • Raphael Fernandez
  • Yong Khoo
چکیده

In this paper, we present a solution for arbitrary 3D character deformation by investigating rotation angle of decomposition and preserving the mesh topology structure. In computer graphics, skeleton extraction and skeleton-driven animation is an active areas and gains increasing interests from researchers. The accuracy is critical for realistic animation and related applications. There have been extensive studies on skeleton based 3D deformation. However for the scenarios of large angle rotation of different body parts, it has been relatively less addressed by the state-of-the-art, which often yield unsatisfactory results. Besides 3D animation problems, we also notice for many 3D skeleton detection or tracking applications from a video or depth streams, large angle rotation is also a critical factor in the regression accuracy and robustness. We introduced a distortion metric function to quantify the surface curviness before and after deformation, which is a major clue for large angle rotation detection. The intensive experimental results show that our method is suitable for 3D modeling, animation, skeleton based tracking applications.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

پویانمایی شخصیت کارتونی با انتقال حرکت مفصلی و مبتنی بر اسکلت موجودات دیگر

Abstract: Nowadays, the animators give life to the fancy characters by making natural movements to organs of cartoon characters. To achieve this goal, movements of living individuals can be applied into cartoon characters. In this paper, a skeletal correspondence finding based method is proposed to transfer movement of a 2D character into a new character, where these two shapes have the same st...

متن کامل

Human Gait Gender Classification using 3D Discrete Wavelet Transform Feature Extraction

Feature extraction for gait recognition has been created widely. The ancestor for this task is divided into two parts, model based and free-model based. Model-based approaches obtain a set of static or dynamic skeleton parameters via modeling or tracking body components such as limbs, legs, arms and thighs. Model-free approaches focus on shapes of silhouettes or the entire movement of physical ...

متن کامل

3D Skeleton model derived from Kinect Depth Sensor Camera and its application to walking style quality evaluations

Feature extraction for gait recognition has been created widely. The ancestor for this task is divided into two parts, model based and free-model based. Model-based approaches obtain a set of static or dynamic skeleton parameters via modeling or tracking body components such as limbs, legs, arms and thighs. Model-free approaches focus on shapes of silhouettes or the entire movement of physical ...

متن کامل

Extraction of skinning data by mesh contraction with Collada 1.5 support

The most common approach to animate models and determine their shape attributes in computer graphics is using skeletons. The skeleton and skinning weights can be either assigned manually or computed from an input mesh. This paper proposes the extraction of a skeleton and skinning weights from a mesh, describes how to store computed data in Collada 1.5 and use it for an animation. Firstly, the m...

متن کامل

Automatic rigging for animation characters with 3D silhouette

Animating an articulated 3D character requires the specification of its interior skeleton structure which defines how the skin surface is deformed during animation. Currently this task is to a large extent accomplished manually, which consumes a large amount of animators’ time. This paper presents an automatic rigging method making use of a new geometry entity called the 3D silhouette. The firs...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:
  • CoRR

دوره abs/1608.05045  شماره 

صفحات  -

تاریخ انتشار 2016