A 3D acquisition system combination of structured-light …
A robust and accurate three dimensional (3D) acquisition system is presented, which is a combination of structured-light scanning and shape from silhouette. Using common world coordinate system, two groups of point data can be integrated into the final complete 3D model without any integration and registration algorithm.
Estimation of 3D Dynamic Lighting Environment with Reference Objects
The light field reconstructed by the estimated 3D dynamic light sources is compelling to model real world lighting environments, and can be used to render natural and artistic atmospheres in CG and 3D video contents.
We introduce a co-designed approach for human portrait relighting that combines a physics-guided architecture with a pre-training framework. Drawing on the Cook-Torrance reflectance model, we have meticulously configured the ar-chitecture design to precisely simulate light-surface inter-actions.
Combining 3D flow fields with silhouette-based human motion …
2004年11月1日 · We demonstrate that the combination of a silhouette-based human motion capture algorithm and multi-view texture generation forms a powerful tool for acquisition and realisic rendering of 3D videos of human actors [5].
A new approach for construction and rendering of dynamic light …
2008年12月1日 · Unified volumes construction is proposed for both dynamic light shaft and shadow, which is embedded into an efficient method of rendering natural light shafts with atmospheric scattering. We present the analytic formula of scattering computation without numerical integration and its implementation on current GPU.
As noted in Section 1, Shape from Silhouette defines a volumetric model of an object, whereas Shape from Structured Light defines a surface model of an object. The main problem that needs to be addressed in an attempt to combine these two methods is how to adapt the two
A 3D acquisition system combination of structured-light …
A stable and reliable target contour recognition algorithm based on omnidirectional illumination using shape from silhouette (SFS) that solves the problem of low signal-to-noise ratio of light signals reflected by materials with high reflectivity or transparency, and achieves performance that is comparable to the state-of-the-art deep learning ...
Our novel combination of parameter encodings enables a small neural network to compute highly detailed radiance estimates in real-time. Due to the low computation cost of ∼13ms with all our encodings enabled, we can render a full neural light field of a dynamic scene with more than 60 frames per second in1920×1080 resolution.
We propose a method for compressively acquiring a dynamic light field (a 5-D volume) through a single-shot coded image (a 2-D measurement). We designed an imag-ing model that synchronously applies aperture coding and pixel-wise exposure coding within …
silhouette extraction and human tracking in a real-world unconstrained environment where the background is complex and dynamic. We extracted features from image regions, accumulated the feature information over time, fused high-level knowledge with low-level features, and built a time-varying background model. A problem