Browsing VMV15 by Subject "I.3.3 [Computer Graphics]"
Now showing items 1-6 of 6
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Efficient GPU Based Sampling for Scene-Space Video Processing
(The Eurographics Association, 2015)We describe a method to efficiently collect and filter a large set of 2D pixel observations of unstructured 3D points, with applications to scene-space aware video processing. One of the main challenges in scene-space video ... -
Extrapolating Large-Scale Material BTFs under Cross-Device Constraints
(The Eurographics Association, 2015)In this paper, we address the problem of acquiring bidirectional texture functions (BTFs) of large-scale material samples. Our approach fuses gonioreflectometric measurements of small samples with few constraint images ... -
Hierarchical Hashing for Pattern Search in 3D Vector Fields
(The Eurographics Association, 2015)The expressiveness of many visualization methods for 3D vector fields is often limited by occlusion, i.e., interesting flow patterns hide each other or are hidden by laminar flow. Automatic detection of patterns in 3D ... -
Rotoscoping on Stereoscopic Images and Videos
(The Eurographics Association, 2015)Creating an animation based on video footage (rotoscoping) often requires significant manual work. For monoscopic videos diverse publications already feature (semi-)automatic techniques to apply non-photorealistic image ... -
Simple, Robust, Constant-Time Bounds on Surface Geodesic Distances using Point Landmarks
(The Eurographics Association, 2015)In this paper we exploit redundant information in geodesic distance fields for a quick approximation of all-pair distances. Starting with geodesic distance fields of equally distributed landmarks we analyze the lower and ... -
Temporal Coherence Predictor for Time Varying Volume Data Based on Perceptual Functions
(The Eurographics Association, 2015)This paper introduces an empirical, perceptually-based method which exploits the temporal coherence in consecutive frames to reduce the CPU-GPU traffic size during real-time visualization of time-varying volume data. In ...