Theory and analysis of higher-order motion blur rasterization

Gribel, Carl; Munkberg, Jacob; Hasselgren, Jon; Akenine-Möller, Tomas

doi:10.1145/2492045.2492046

Cited by 3 publications

(2 citation statements)

References 15 publications

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“…As future work, our primary focus is to apply our culling proposal to handle motion blur rasterization (Gribel et al, 2013). We also plan to extend our proposal to consider self-collision detection (Wong et al, 2014).…”

Section: Discussionmentioning

confidence: 99%

Efficient Culling Techniques for Interactive Deformable NURBS Surfaces on GPU

Concheiro

Amor

Padrón

et al. 2016

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

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NURBS (Non-uniform rational B-splines) surfaces are the standard freeform representation in Computer-Aided Design (CAD) applications. Rendering NURBS surfaces accurately while they are interactively manipulated and deformed is a challenging task. In order to achieve it, the elimination from pipeline in early stages of back-facing surfaces or surface pieces is a key advantage. Furthermore, an effective interactive manipulation implies that all the culling computations should be performed for each frame, facing the possibility of fast changes in occlusion information. In this paper, different interactive culling strategies for NURBS surfaces are presented and analyzed. These culling techniques are based on the exploitation of the geometric properties presented in a NURBS surface, that allow easily to find bounds for it in screen space for each frame. Furthermore, the culling overhead for our proposals is small compared to the computational saving, outperforming a proposal without culling. An implementation of these strategies using current GPUs is presented, achieving real-time and interactive rendering rates of complex parametric models. 2014) or Bézier patches (Cohen et al., 1980), that can be efficiently rendered on GPU (Guthe et al., 2005;Concheiro et al., 2010;Yeo et al., 2012;Claux et al.,

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Section: Discussionmentioning

confidence: 99%

Efficient Culling Techniques for Interactive Deformable NURBS Surfaces on GPU

Concheiro

Amor

Padrón

et al. 2016

Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications

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“…In particular, attempts to simulate nonlinear MBlur include Gribel et al (2013) and Woop et al (2017). Our hybrid technique only considers linear inter-frame image space motion for now, but we intend to provide support for higher-order geometry motion in the future.…”

Section: Mblurmentioning

confidence: 99%

Hybrid MBlur: A Systematic Approach to Augment Rasterization with Ray Tracing for Rendering Motion Blur in Games

Tan,

Cui,

Bhojan

2022

Preprint

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Motion blur is commonly used in game cinematics to achieve photorealism by modelling the behaviour of the camera shutter and simulating its effect associated with the relative motion of scene objects. A common real-time post-process approach is spatial sampling, where the directional blur of a moving object is rendered by integrating its colour based on velocity information within a single frame. However, such screen space approaches typically cannot produce accurate partial occlusion semi-transparencies. Our real-time hybrid rendering technique leverages hardware-accelerated ray tracing to correct post-process partial occlusion artifacts by advancing rays recursively into the scene to retrieve background information for motion-blurred regions, with reasonable additional performance cost for rendering game contents. We extend our previous work with details on the design, implementation, and future work of the technique as well as performance comparisons with post-processing. Background Information Hybrid RenderingRay tracing is a common approach to produce realistic effects like glossy reflections, depth of field, and a https://orcid.

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Time Interval Ray Tracing for Motion Blur

Shkurko

Yuksel

Kopta

et al. 2018

IEEE Trans. Visual. Comput. Graphics

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We introduce a new motion blur computation method for ray tracing that provides an analytical approximation of motion blurred visibility per ray. Rather than relying on timestamped rays and Monte Carlo sampling to resolve the motion blur, we associate a time interval with rays and directly evaluate when and where each ray intersects with animated object faces. Based on our simplifications, the volume swept by each animated face is represented using a triangulation of the surface of this volume. Thus, we can resolve motion blur through ray intersections with stationary triangles, and we can use any standard ray tracing acceleration structure without modifications to account for the time dimension. Rays are intersected with these triangles to analytically determine the time interval and positions of the intersections with the moving objects. Furthermore, we explain an adaptive strategy to efficiently shade the intersection intervals. As a result, we can produce noise-free motion blur for both primary and secondary rays. We also provide a general framework for emulating various camera shutter mechanisms and an artistic modification that amplifies the visibility of moving objects for emphasizing the motion in videos or static images.

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Theory and analysis of higher-order motion blur rasterization

Cited by 3 publications

References 15 publications

Efficient Culling Techniques for Interactive Deformable NURBS Surfaces on GPU

Efficient Culling Techniques for Interactive Deformable NURBS Surfaces on GPU

Hybrid MBlur: A Systematic Approach to Augment Rasterization with Ray Tracing for Rendering Motion Blur in Games

Time Interval Ray Tracing for Motion Blur

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