GPU Real Time Hatching

نویسندگان

  • Jordane Suarez
  • Farès Belhadj
  • Vincent Boyer
چکیده

Hatching is a shading technique in which tone is represented by a series of strokes or lines. Drawing using this technique should follow three criteria: the lighting, the object geometry and its material. These criteria respectively provide tone, geometric motif orientation and geometric motif style. We present a GPU real time approach of hatching strokes over arbitrary surfaces. Our method is based on a coherent and consistent model texture mapping and takes into account these three criteria. The triangle adjacency primitive is used to provide a coherent stylization over the model. Our model computes hatching parameter per fragment according to the light direction and the geometry and generates hatching rendering taking into account these parameters and a lighting model. Dedicated textures can easily be created off-line to depict material properties for any kind of object. As our GPU model is designed to deal with texture resolutions, consistent mapping and geometry in the object space, it provides real time rendering while avoiding popping and shower-door effects.

برای دانلود 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

Marker-less Facial Motion Capture based on the Parts Recognition

Hatching is a shading technique in which tone is represented by a series of strokes or lines. Drawing using this technique should follow three criteria: the lighting, the object geometry and its material. These criteria respectively provide tone, geometric motif orientation and geometric motif style. We present a GPU real time approach of hatching strokes over arbitrary surfaces. Our method is ...

متن کامل

Implementation of the direction of arrival estimation algorithms by means of GPU-parallel processing in the Kuda environment (Research Article)

Direction-of-arrival (DOA) estimation of audio signals is critical in different areas, including electronic war, sonar, etc. The beamforming methods like Minimum Variance Distortionless Response (MVDR), Delay-and-Sum (DAS), and subspace-based Multiple Signal Classification (MUSIC) are the most known DOA estimation techniques. The mentioned methods have high computational complexity. Hence using...

متن کامل

An approach to Improve Particle Swarm Optimization Algorithm Using CUDA

The time consumption in solving computationally heavy problems has always been a concern for computer programmers. Due to simplicity of its implementation, the PSO (Particle Swarm Optimization) is a suitable meta-heuristic algorithm for solving computationally heavy problems. However, despite the simplicity, the algorithm is inefficient for solving real computationally heavy problems but the pr...

متن کامل

GPU-SAM: Leveraging multi-GPU split-and-merge execution for system-wide real-time support

Multi-GPUs appear as an attractive platform to speed up data-parallel GPGPU computation. The idea of split-and-merge execution has been introduced to accelerate the parallelism of multiple GPUs even further. However, it has not been explored before how to exploit such an idea for real-time multi-GPU systems properly. This paper presents an open-source real-time multi-GPU scheduling framework, c...

متن کامل

Ultra-Fast Image Reconstruction of Tomosynthesis Mammography Using GPU

Digital Breast Tomosynthesis (DBT) is a technology that creates three dimensional (3D) images of breast tissue. Tomosynthesis mammography detects lesions that are not detectable with other imaging systems. If image reconstruction time is in the order of seconds, we can use Tomosynthesis systems to perform Tomosynthesis-guided Interventional procedures. This research has been designed to study u...

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

برای دانلود 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

عنوان ژورنال:
  • Journal of WSCG

دوره 21  شماره 

صفحات  -

تاریخ انتشار 2013