We propose a framework that captures multiple high dynamic range environment maps and decomposes them into sets of directional light sources in real-time. The environment maps, captured and processed on stand-alone devices (e.g. Nokia N900 smartphone), are available to rendering engines via a server that provides wireless access. We compare three different importance sampling techniques in terms of the quality of sampling pattern, temporal coherence, and performance. Furthermore, we propose a novel idea of merging the directional light sources from multiple cameras by interpolation. We then discuss the pros and cons when using multiple cameras
We explore the application of dense camera arrays to view interpolation across space and time for dy...
Conventional wide-area video surveillance systems use a network of fixed cameras positioned close to...
Monitoring of environmental phenomena with embedded net-worked sensing confronts the challenges of b...
We propose a framework that captures multiple high dynamic range environment maps and decomposes the...
We introduce a simple and effective technique for light-based importance sampling of dynamic environ...
Figure 1: Time-varying light samples distribution for one pixel (cyan dot) on the dragon model when ...
We present an interactive system for fully dynamic scene lighting using captured high dynamic range ...
Sampling complex illumination in the form of environment maps has received a lot of attention in com...
Abstract—In the context of environmental monitoring, outdoor wireless cameras are vulnerable to natu...
International audienceWe propose a new approximation technique for accelerating the Global Illuminat...
The recent introduction of high dynamic range (HDR) video cameras has enabled the development of ima...
We propose a system for easily preparing arbitrary wide-area envi-ronments for subsequent real-time ...
Interacting with environments exhibiting the subtle lighting effects found in the real world gives d...
Figure 1. A complex outdoor configuration of cameras, illustrating the different relationships betwe...
Many environmental applications require high fidelity sampling of temporally and spatially distribut...
We explore the application of dense camera arrays to view interpolation across space and time for dy...
Conventional wide-area video surveillance systems use a network of fixed cameras positioned close to...
Monitoring of environmental phenomena with embedded net-worked sensing confronts the challenges of b...
We propose a framework that captures multiple high dynamic range environment maps and decomposes the...
We introduce a simple and effective technique for light-based importance sampling of dynamic environ...
Figure 1: Time-varying light samples distribution for one pixel (cyan dot) on the dragon model when ...
We present an interactive system for fully dynamic scene lighting using captured high dynamic range ...
Sampling complex illumination in the form of environment maps has received a lot of attention in com...
Abstract—In the context of environmental monitoring, outdoor wireless cameras are vulnerable to natu...
International audienceWe propose a new approximation technique for accelerating the Global Illuminat...
The recent introduction of high dynamic range (HDR) video cameras has enabled the development of ima...
We propose a system for easily preparing arbitrary wide-area envi-ronments for subsequent real-time ...
Interacting with environments exhibiting the subtle lighting effects found in the real world gives d...
Figure 1. A complex outdoor configuration of cameras, illustrating the different relationships betwe...
Many environmental applications require high fidelity sampling of temporally and spatially distribut...
We explore the application of dense camera arrays to view interpolation across space and time for dy...
Conventional wide-area video surveillance systems use a network of fixed cameras positioned close to...
Monitoring of environmental phenomena with embedded net-worked sensing confronts the challenges of b...