Motion Blur Rendering: State of the Art

Abstract

Motion blur is a fundamental cue in the perception of objects in motion. This phenomenon manifests as a visible trail along the trajectory of the object and is the result of the combination of relative motion and light integration taking place in film and electronic cameras. In this work, we analyse the mechanisms that produce motion blur in recording devices and the methods that can simulate it in computer generated images. Light integration over time is one of the most expensive processes to simulate in high-quality renders, as such, we make an in-depth review of the existing algorithms and we categorize them in the context of a formal model that highlights their differences, strengths and limitations. We finalize this report proposing a number of alternative classifications that will help the reader identify the best technique for a particular scenario.

Temporal Video Filtering and Exposure Control for Perceptual Motion Blur

“…5d). This behavior is different from most Monte Carlo-based motion-blur rendering techniques, where stronger motion blur tends to increase render times [43].…”

Efficient motion blurred shadows using a temporal shadow map

“…In the lighting pass, we use the stochastic rasterization described by McGuire et al [5] with a fast ray-triangle intersection [18] and multi-sampling. For comparisons, we implement a brute force method [3] using 3000 samples to generate reference images and the time-dependent shadow mapping (TSM) using the stochastic rasterization [5]. In all rendered images, the shadow map used in the TSM have 1024 × 768 resolution.…”

“…Therefore, we refer readers to Navarro et al [3] and Eisemann et al [4] for an overview of motion blur and shadow mapping, respectively.…”

Time-Mapping Using Space-Time Saliency

“…Temporal filtering techniques have been well-studied for removing noise and aliasing artifact in video signals and for creating motion effects [14] in the context of computer animation. For instance, Fuchs et al [5] investigate the effect of different temporal sampling kernels in creating enhanced movies for HFR input.…”