Real Time Shadow Mapping for Augmented Reality Photorealistic Rendering (original) (raw)
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Abstract—This work presents an approach to render appropriate shadows with Image Based Lighting in Augmented Reality applications. To approximate the result of environment lighting and shadowing, the system uses a dome of shadow casting light sources. The color of each shadow is determined by the area of the environment behind the casting light source. As a result it is possible that changes in the lighting conditions immidiately affect the shadow casting of virtual objects on real objects.
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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.
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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...
An Enhanced Real-Time Shadow Rendering Technique in Outdoor Augmented Reality
Mansoura Journal for Computer and Information Sciences
In this paper, the point is to give steady shadows amongst virtual and genuine objects for outdoor scene without requiring any earlier data. The technique gives a real-time framework for recreating reliable virtual shadows in an outdoor scene. The proposed procedure firstly handles the shadow areas because of genuine things; secondly ensures the pixels in genuine shadow are prevented from more rendering and finally rendering shadows because of virtual things. The main research contribution, in addition to shadow refinement, is handling the overlap between real and virtual shadows. Consequently those shadows for virtual things are depend on the shadows of real things. The experimental results create the impression that the recommended system has basically upgraded that authenticity about steady outside augmented reality rendering, in this manner taking care of the issue of practical augmented reality frameworks. Results show a comparison of shadow rendering between proposed technique and other techniques in different resolutions.
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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.
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A Context-Aware Method for Authentically Simulating Outdoors Shadows for Mobile Augmented Reality
IEEE transactions on visualization and computer graphics, 2017
Visual coherence between virtual and real objects is a major issue in creating convincing augmented reality (AR) applications. To achieve this seamless integration, actual light conditions must be determined in real time to ensure that virtual objects are correctly illuminated and cast consistent shadows. In this paper, we propose a novel method to estimate daylight illumination and use this information in outdoor AR applications to render virtual objects with coherent shadows. The illumination parameters are acquired in real time from context-aware live sensor data. The method works under unprepared natural conditions. We also present a novel and rapid implementation of a state-of-the-art skylight model, from which the illumination parameters are derived. The Sun's position is calculated based on the user location and time of day, with the relative rotational differences estimated from a gyroscope, compass and accelerometer. The results illustrated that our method can generate ...
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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.