Showing papers on "Gouraud shading published in 2012"
25 Jun 2012
TL;DR: Clustered Shading not only outperforms tiled shading in many scenes, but also exhibits better worst case behaviour under tricky conditions (e.g. when looking at high-frequency geometry with large discontinuities in depth).
Abstract: This paper presents and investigates Clustered Shading for deferred and forward rendering. In Clustered Shading, view samples with similar properties (e.g. 3D-position and/or normal) are grouped into clusters. This is comparable to tiled shading, where view samples are grouped into tiles based on 2D-position only. We show that Clustered Shading creates a better mapping of light sources to view samples than tiled shading, resulting in a significant reduction of lighting computations during shading. Additionally, Clustered Shading enables using normal information to perform per-cluster back-face culling of lights, again reducing the number of lighting computations. We also show that Clustered Shading not only outperforms tiled shading in many scenes, but also exhibits better worst case behaviour under tricky conditions (e.g. when looking at high-frequency geometry with large discontinuities in depth). Additionally, Clustered Shading enables real-time scenes with two to three orders of magnitudes more lights than previously feasible (up to around one million light sources).
53 citations
TL;DR: The experimental results show that the proposed ORNAM representation has higher compression ratio and less number of homogeneous blocks than the conventional S-Tree Coding (STC) representation whereas maintaining a satisfactory image quality, and therefore it is a better method to represent gray images.
13 citations
TL;DR: The experimental results presented in this paper show that the NNAM method can significantly reduce the lower bit rate and the number of homogenous blocks than the conventional STC method, whereas remaining the satisfactory image quality.
Abstract: Inspired by the idea of the S-Tree Coding (STC) and by extending the popular Gouraud shading approach, in this paper, we propose a new image representation method using the Nonoverlapping Non-symmetry and Anti-packing Model (NNAM) for medical images, which is called the NNAM method. Also, a raster-first strategy for searching a rectangle subpattern in the NNAM method is put forward. During the procedure of scanning a rectangle subpptern, the value of the horizontal ordinate is firstly increased, and then the value of the vertical ordinate is increased until the rectangle subpattern finally becomes a non-homogeneous block. By comparing our proposed NNAM method with the conventional STC method, the experimental results presented in this paper show that the former can significantly reduce the lower bit rate and the number of homogenous blocks than the latter whereas remaining the satisfactory image quality. Also, our proposed NNAM method for medical images, as envisaged in this paper, shows a very strong promise and it has good potential in business applications dealing with image processing, such as reducing storage room, increasing processing speed, and improving pattern match efficiency.
2 citations
TL;DR: A new reconstruction model comprising of the Bounding Cylinder, Curve Interpolation and Gouraud Shading is proposed to visualize neuron model in order to improve realism and produce a near-perfection model of the natural neurons with attended realism.
2 citations
TL;DR: A novel hardware implementation applied in embedded system for the power computation of specular term of Phong shading based on piecewise linear approximation and can complete 50 million power computation per second with the maximum approximation error of 0.00141.
Abstract: In this paper we propose a novel hardware implementation applied in embedded system for the power computation of specular term of Phong shading. Based on piecewise linear approximation, the power unit is implemented with SMIC 0.18μm CMOS technology and can complete 50 million power computation per second with the maximum approximation error of 0.00141 when the exponent of power is 20. The area cost is 12.3K gates. The maximum RGB color error of generated graphics is only 1 resulting in no visual difference compared with graphics generated by software.