Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
The accumulation buffer: hardware support for high-quality rendering
SIGGRAPH '90 Proceedings of the 17th annual conference on Computer graphics and interactive techniques
2 1/2—D depth-of-field simulation for computer animation
Graphics Gems III
A realistic camera model for computer graphics
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Professional digital photography
Professional digital photography
Dynamically reparameterized light fields
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Synthetic Image Generation with a Lens and Aperture Camera Model
ACM Transactions on Graphics (TOG)
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
SIGGRAPH '84 Proceedings of the 11th annual conference on Computer graphics and interactive techniques
INFOVIS '01 Proceedings of the IEEE Symposium on Information Visualization 2001 (INFOVIS'01)
APGV '04 Proceedings of the 1st Symposium on Applied perception in graphics and visualization
Real-Time, Accurate Depth of Field using Anisotropic Diffusion and Programmable Graphics Cards
3DPVT '04 Proceedings of the 3D Data Processing, Visualization, and Transmission, 2nd International Symposium
Graphical Models - Special issue: Vision and computer graphics
Rendering skewed plane of sharp focus and associated depth of field
SIGGRAPH '04 ACM SIGGRAPH 2004 Sketches
Generating Depth-of-Field Effects in Virtual Reality Applications
IEEE Computer Graphics and Applications
Camera models and optical systems used in computer graphics: part I, object-based techniques
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartIII
Camera models and optical systems used in computer graphics: part II, image-based techniques
ICCSA'03 Proceedings of the 2003 international conference on Computational science and its applications: PartIII
Depth-of-field rendering with multiview synthesis
ACM SIGGRAPH Asia 2009 papers
Real-time lens blur effects and focus control
ACM SIGGRAPH 2010 papers
Accurate depth-of-field rendering using adaptive bilateral depth filtering
CVM'12 Proceedings of the First international conference on Computational Visual Media
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Depth of field refers to the swath through a 3D scene that is imaged in acceptable focus through an optics system, such as a camera lens. Control over depth of field is an important artistic tool that can be used to emphasize the subject of a photograph. In a real camera, the control over depth of field is limited by the nature of the image formation process and by physical constraints. The depth of field effect has been simulated in computer graphics, but with the same limited control as found in real camera lenses. In this paper, we use diffusion in a non-homogeneous medium to generalize depth of field in computer graphics by enabling the user to independently specify the degree of blur at each point in three-dimensional space. Generalized depth of field provides a novel tool to emphasize an area of interest within a 3D scene, to pick objects out of a crowd, and to render a busy, complex picture more understandable by focusing only on relevant details that may be scattered throughout the scene. Our algorithm operates by blurring a sequence of nonplanar layers that form the scene. Choosing a suitable blur algorithm for the layers is critical; thus, we develop appropriate blur semantics such that the blur algorithm will properly generalize depth of field. We found that diffusion in a non-homogeneous medium is the process that best suits these semantics.