Efficient and robust radiance transfer for probeless photorealistic augmented reality (original) (raw)

AR360: Dynamic Illumination for Augmented Reality with Real-Time Interaction

2019 IEEE 2nd International Conference on Information and Computer Technologies (ICICT), 2019

Current augmented and mixed reality systems suffer a lack of correct illumination modeling where the virtual objects render the same lighting condition as the real environment. While we are experiencing astonishing results from the entertainment industry in multiple media forms, the procedure is mostly accomplished offline. The illumination information extracted from the physical scene is used to interactively render the virtual objects which results in a more realistic output in real-time. In this paper, we present a method that detects the physical illumination with dynamic scene, then uses the extracted illumination to render the virtual objects added to the scene. The method has three steps that are assumed to be working concurrently in real-time. The first is the estimation of the direct illumination (incident light) from the physical scene using computer vision techniques through a 360° live-feed camera connected to AR device. The second is the simulation of indirect illumination (reflected light) from the real-world surfaces to virtual objects rendering using region capture of 2D texture from the AR camera view. The third is defining the virtual objects with proper lighting and shadowing characteristics using shader language through multiple passes. Finally, we tested our work with multiple lighting conditions to evaluate the accuracy of results based on the shadow falling from the virtual objects which should be consistent with the shadow falling from the real objects with a reduced performance cost.

Practical Precomputed Radiance Transfer for Mixed Reality

Mixed Reality and its concept of virtual superimposed on real space interplay invoke such interactive experiences that promote new patterns of believability and presence for cultural heritage applications. The seamless integration of virtual cultural artifacts with 'real lights' or images of real scenes, is an important step towards believability and consistency in synthesized MR scenes. That synthesized world termed Augmented Reality allows seeing the real scene with virtual augmentations superimposed onto it, but often fails to produce a realtime image that as a whole is a believable integrated experience. Furthermore, often Virtual Reality cultural heritage reconstructions are not physically correct rendered in real-time. Our main research efforts are twofold: adding believable and realistically simulated real-time virtual artifacts superimposed on real video sequence images, as well as employ dynamic 'area lights' for real-time large scale VR site reconstructions. The main novelty of this combined effort is a new adaptation of a physically correct illumination model for virtual cultural heritage artifacts as well as large scale reconstructions based on 'real area light', captured via light probes and employed in an extended graphics hardware accelerated Precomputed Radiance Transfer algorithm.

An Empirical Evaluation of the Performance of Real-Time Illumination Approaches: Realistic Scenes in Augmented Reality

2019

Augmented, Virtual, and Mixed Reality (AR/VR/MR) systems have been developed in general, with many of these applications having accomplished significant results, rendering a virtual object in the appropriate illumination model of the real environment is still under investigation. The entertainment industry has presented an astounding outcome in several media form, albeit the rendering process has mostly been done offline. The physical scene contains the illumination information which can be sampled and then used to render the virtual objects in real-time for realistic scene. In this paper, we evaluate the accuracy of our previous and current developed systems that provide real-time dynamic illumination for coherent interactive augmented reality based on the virtual object’s appearance in association with the real world and related criteria. The system achieves that through three simultaneous aspects. (1) The first is to estimate the incident light angle in the real environment using...

Outdoor Illumination Estimation for Mobile Augmented Reality: Real-time Analysis of Shadow and Lit Surfaces to Measure the Daylight Illumination

Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications, 2020

A realistic illumination model in Augmented Reality (AR) applications is crucial for perceiving virtual objects as real. In order to correctly blend digital content with the physical world it is necessary to measure, in real time, the illumination present in the scene surrounding the user. The paper proposes a novel solution for real-time estimation of outdoor illumination conditions, based on the video stream from the camera on handheld devices. The problem is formulated in a radiometric framework, showing how the reflected radiance from the surface maps to pixel values, and how the reflected radiance relates to surface reflectance and the illumination environment. From this we derive how to estimate the color and intensity of the sun and sky illumination, respectively, using areas in the video stream that are in direct sunlight and in shadow. The presented approach allows for rendering augmentations that adapt in real-time to dynamically changing outdoor illumination conditions.

Low-cost photometric calibration for interactive relighting

In Proceedings of the First French-British …, 2000

Computer augmented reality is a rapidly emerging field allowing users to mix virtual and real worlds. Our interest is to allow relighting and remodelling of real scenes, using a reflectance estimation method. Most previous work focused on the quality of the results without considering the expense in computation and the price of acquisition equipment. In this paper, we present a low–cost photometric calibration method which improves the reflectance estimate of real scenes. This is achieved by adapting high-dynamic range ...

Real-Time Estimation of Illumination Direction for Augmented Reality with Low-Cost Sensors

2016

In recent years, Augmented Reality has become a very popular topic, both as a research and commercial field. This trend has originated with the use of mobile devices as computational core and display. The appearance of virtual objects and their interaction with the real world is a key element in the success of an Augmented Reality software. A common issue in this type of software is the visual inconsistency between the virtual and real objects due to wrong illumination. Although illumination is a common research topic in Computer Graphics, few studies have been made about real time estimation of illumination direction. In this work we present a low-cost approach to detect the direction of the environment illumination, allowing the illumination of virtual objects according to the real light of the ambient, improving the integration of the scene. Our solution is open-source, based on Arduino hardware and the presented system was developed on Android.

Estimating Illumination Direction for Augmented Reality in Real-Time by using Low-Cost Sensors

2017

In recent years, Augmented Reality has become a very popular topic, both as a research and commercial field. This trend has originated with the use of mobile devices as computational core and display. The appearance of virtual objects and their interaction with the real world is a key element in the success of an Augmented Reality software. A common issue in this type of software is the visual inconsistency between the virtual and real objects due to wrong illumination. Although illumination is a common research topic in Computer Graphics, few studies have been made about real time estimation of illumination direction. In this work we present a low-cost approach to detect the direction of the environment illumination, allowing the illumination of virtual objects according to the real light of the ambient, improving the integration of the scene. Our solution is open-source, based on Arduino hardware and the presented system was developed on Android.

Fast Image Based Lighting for Mobile Realistic AR

2014

This paper presents a mobile implementation of realistic augmented reality using a simple image based lighting method. The front camera of the mobile device is used to interactively capture and update an environment map. Then, by making some reasonable assumptions on local geometry and object reflectance function, incident lighting is integrated in real-time. The method handles dynamic environment and soft shadows, and runs at real-time framerates on high-end devices.

Automatic Estimation of Illumination Features for Indoor Photorealistic Rendering in Augmented Reality

Communications in Computer and Information Science, 2015

In this paper, a fast and practical algorithm is presented to estimate the multiple number of lights from every single indoor scene image in Augmented Reality environmet. This algorithm provides a way to accurately estimate the position, directions, and intensities properties of the light sources in a scene. Unlike other state-of-the-art algorithms, it is able to give accurate results without any essential analysis on the objects in the scene. It uses the analysis of the saturation channel HSV data. The evaluation is done by testing a ground truth dataset of synthetic and real images with known properties of lights and then comparing the results with other studies in the field.

Interactive image based lighting in augmented reality

Our work focuses on using Image Based Lighting in Aug-mented Reality applications. In our application the real environment has immidiate effects on the virtual objects. It is possible for us to render reflective objects and see our own reflection in the objects, updated 30 times per second. Moreover the virtual objects cast soft shadows on the real floor and on each other. The virtual shadows resemble the real ones because the real light sources are detected in the environment.