3D Scene Visualization Research Articles

Virtual Museum Scene Design Based on VRAR Realistic Interaction under PMC Artificial Intelligence Model

Abstract At present, there are problems of insufficient conservation and heritage and single display channels in the field of museums. In the background of digital era, innovative new museum display mode and interaction mode can bring new exhibition experience for visitors. In this paper, we study the key technologies such as 3D scene visualization, facility and equipment simulation, and human-computer interaction simulation. Based on virtual reality and augmented reality, somatosensory interactive digital technologies, an interaction engine under multiple classifiers is proposed, an online virtual museum design strategy is built, and an all-round, multi-angle, three-dimensional interactive museum display platform is constructed. A quantitative analysis method based on the policy consistency index model is proposed to conduct user measurement and post-use evaluation of the conceived virtual museum. The application results show that the design platform can intuitively display the complex environment of an intelligent digital museum, support the development of immersive virtual roaming and virtual touch, and provide a new way to visit a new type of interactive museum.

Third dimension of a map

Abstract. A communication of information from its producer to a user can be done in many ways which differs in their effectivity. Although a map is a native communication channel for presenting of spatial data, a presentation of spatial data in 3D environment is a growing alternative in recent years. Therefore this chapter describes basic principles of dealing with third dimension in a map.Note that this contribution focuses on matters related purely to GIS. The contribution is not going to describe advanced 3D scene visualization techniques such as shadow modelling, ray-tracing, etc. (as they belong to computer graphics).Also a type of display in not addressed in detail. Just to mention in general, having a 3D scene, it can be displayed on:Monitor – then it is perspective visualization. A perception of depth emerges by moving the virtual observer position or line of sight.Monitor using passive or active glasses / 3D monitor – a full stereo perception emerges.3D print / hologram – physical/virtual three-dimensional scene emerges.Coming to GIS related issues. First of all, there exists solutions displaying 2.5 dimensional data and they are commonly called 3D GIS as well even if they do not support full 3D objects.Next, there are two different types of coordinate systems used: a Cartesian coordinate system, speaking geographically – a projected coordinate system, e.g. an UTM Zone. Then all coordinates are in the same units (usually meters). More challenging is the other type – a geographic coordinate system using latitude and longitude locating both objects and phenomena on Earth globe, but metric units for (ellipsoidal or orthometric) height – then different types of units (angular and metrical) are used for different axes. Such a situation is typical for virtual globes.Talking about cartography, there are two main approaches to visualize a 3D scene, photorealistic versus symbolized). Photorealistic approach tends to use real world textures and create an impression as close to real world as possible. The other approach, consisting of applying a cartographic symbols on the scene, challenges contemporary cartography, as not all cartographic techniques can be transferred from 2D to 3D. There can be distinguished among techniques able to apply without a change, techniques need to be adapted and inapplicable techniques.And last but not least major issue is that 3D GIS has to deal with large data in a different way than in 2D. Two dimensional GIS deals with large amount of data by a concept of scale dependent rendering (also called a scale dependent map) and using pyramiding and generalization techniques. But important thing is that always the whole thematic layer (or even a map) is represented at one level of detail in one view. When zoom in or out, an appropriate level of pyramid is depicted. A different approach is needed in 3D – instead of using one zoom level as a threshold for what and how to visualize, the observer position and line of sight have to be taken into account. Then, objects closer to observer have to be presented in more detailed way than objects away, no matter if they are from the same layer or different layers.

Three-Dimensional Visualization of Long Range Scenes by Photon Counting Mid-Wave Infrared Integral Imaging

Integral imaging under photon counting conditions has found different three-dimensional (3D) imaging applications, including 3D image reconstruction and recognition. In this paper, we present the application of the maximum-likelihood (ML) estimation method for visualization of 3D scenes in photon starved environments using mid-wave infrared 3D data of real scenes acquired at distances ranging from 50 m to more than 2 km. To the best of our knowledge, this is the first report on mid-wave infrared 3D photon counting integral imaging of distant scenes.

Virtual Huanghe River System: Framework and technology

Virtual Reality provides a new approach for geographical research. In this paper, a framework of the Virtual Huanghe (Yellow) River System was first presented from the view of technology, which included five main modules—data sources, 3D simulation terrain database, 3D simulation model database, 3D simulation implementation and application system. Then the key technologies of constructing Virtual Huanghe River System were discussed in detail: 1) OpenGL technology, the 3D graphics developing instrument, was employed in Virtual Huanghe River System to realize the function of dynamic real-time navigation. 2) MO and OpenGL technologies were used to make the mutual response between 3D scene and 2D electronic map available, which made use of the advantages of both 3D scene and 2D electronic map, with the macroscopic view, integrality and conciseness of 2D electronic map combined with the locality, reality and visualization of 3D scene. At the same time the disadvantages of abstract and ambiguity of 2D electronic map and the direction losing of virtual navigation in 3D scene were overcome.

A hierarchy of cameras for 3D photography

The view-independent visualization of 3D scenes is most often based on rendering accurate 3D models or utilizes image-based rendering techniques. To compute the 3D structure of a scene from a moving vision sensor or to use image-based rendering approaches, we need to be able to estimate the motion of the sensor from the recorded image information with high accuracy, a problem that has been well-studied. In this work, we investigate the relationship between camera design and our ability to perform accurate 3D photography, by examining the influence of camera design on the estimation of the motion and structure of a scene from video data. By relating the differential structure of the time varying plenoptic function to different known and new camera designs, we can establish a hierarchy of cameras based upon the stability and complexity of the computations necessary to estimate structure and motion. At the low end of this hierarchy is the standard planar pinhole camera for which the structure from motion problem is non-linear and ill-posed. At the high end is a camera, which we call the full field of view polydioptric camera, for which the motion estimation problem can be solved independently of the depth of the scene which leads to fast and robust algorithms for 3D Photography. In between are multiple view cameras with a large field of view which we have built, as well as omni-directional sensors.

Efficient representation and streaming of 3D scenes

In the last few years several approaches (Proceedings of the Second International Workshop on Distributed Interactive Simulation and Real-Time Application, 1998, pp. 88–91; EUROGRAPHICS 2001, vol. 20(3) 2001) have been presented, which address the transmission and visualization of 3D scenes on distributed devices with different capabilities. These techniques are in the interest of a wide field of applications such as virtual chatrooms, product presentations, CAVE visualizations, 3D simulations, or 3D online games. In order to adapt the immense data effort to the capabilities of the devices and the networks, two basic problems have to be solved: the selection of the information according to the user's interest and the reduction of the selected data. Usually the first problem is reduced to visual aspects, which can be determined by visibility culling algorithms. This paper concentrates on the second problem and introduces a system in order to stream the data of even large 3D scenes to remote devices.