RGBD2lux: Dense light intensity estimation with an RGBD sensor

09/20/2018
by   Theodore Tsesmelis, et al.
2

Lighting design and modelling luminaires in a virtual or real scene) or industrial applications like luminaire planning and commissioning evaluation process along to the scene's geometry and structure) rely heavily on physically correct simulations. The current typical approaches are based on CAD modeling simulations and offline rendering, with long processing times and therefore inflexible workflows. Thus, in this paper we propose a computer vision based system to measure lighting with just a single RGBD camera. The proposed method uses both depth data and images from the sensor to provide a dense measure of light intensity in the field of view of the camera. whether a 3D modeling simulation based on camera-aided information could be used to accurately simulate the light distribution of a luminaire on the fly and to answer the question how sufficiently meaningful and reliable such a light modeling procedure could be. .

READ FULL TEXT

page 2

page 6

page 7

research
11/09/2017

Toward Depth Estimation Using Mask-Based Lensless Cameras

Recently, coded masks have been used to demonstrate a thin form-factor l...
research
04/17/2020

An integrated light management system with real-time light measurement and human perception

Illumination is important for well-being, productivity and safety across...
research
07/20/2023

Lighting up NeRF via Unsupervised Decomposition and Enhancement

Neural Radiance Field (NeRF) is a promising approach for synthesizing no...
research
12/16/2016

Mirrored Light Field Video Camera Adapter

This paper proposes the design of a custom mirror-based light field came...
research
08/28/2023

Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor

Light-weight time-of-flight (ToF) depth sensors are compact and cost-eff...
research
04/30/2018

4D Temporally Coherent Light-field Video

Light-field video has recently been used in virtual and augmented realit...
research
03/14/2019

Technically correct visualization of biological microscopic experiments

The most realistic images that reflect native cellular and intracellular...

Please sign up or login with your details

Forgot password? Click here to reset