Earticle

초록

영어

This paper proposes an optimization technique for voxel ambient occlusion through adaptive cone tracing. The voxel ambient occlusion technique involves voxelizing a mesh scene, storing the reflected light on the voxels, and then projecting cones in the direction of the surface normal to sample the stored reflected light, thereby expressing shading due to ambient occlusion. When applying this to volume data, where surfaces are often ambiguous, it is necessary to define a threshold density value that assumes a surface is formed where reflection occurs based on the volume data's density distribution, making the technique sensitive to noise generated during image acquisition. As a solution, this study confirms that by calculating the distance from the bounding box during cone tracing and adjusting the number and aperture angle of the cones based on this distance, it is possible to maintain realistic shadow representation in critical areas while reducing computational load and improving speed.

목차

Abstract
I. INTRODUCTION AND RELATED WORK
II. ROI BASED AMBIENT OCCLUSION OPTIMIZATION
III. EXPERIMENTAL RESULT
IV. CONCLUSION
ACKNOWLEDGMENT
REFERENCES

저자

• Sang-Yeun Yoon [ Dept. of Electrical & Computer Eng. Inha University ]
• Su-Kyung Sung [ Dept. of Electrical & Computer Eng. Inha University ]
• Byeong-Seok Shin [ Dept. of Electrical & Computer Eng. Inha University ] Corresponding Author

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