Acquiring 3D Models from Images for Multimedia Systems (original) (raw)
Related papers
A simple model generation system for computer graphics
Future Generation Computer Systems, 2005
Most 3D objects in computer graphics are represented as polygonal mesh models. Though techniques like image-based rendering are gaining popularity, a vast majority of applications in computer graphics and animation use such polygonal meshes for representing and rendering 3D objects. High quality mesh models are usually generated through 3D laser scanning techniques. However, even the inexpensive laser scanners cost tens of thousands of dollars and it is difficult for researchers in computer graphics to buy such systems just for model acquisition. In this paper, we describe a simple model acquisition system built from web cams or digital cameras. This low-cost system gives researchers an opportunity to capture and experiment with reasonably good quality 3D models. Our system uses standard techniques from computer vision and computational geometry to build 3D models.
Interactive 3D Modeling - A Survey-based Perspective on Interactive 3D Reconstruction
Proceedings of the International Conference on Pattern Recognition Applications and Methods, 2015
3D reconstruction and modeling techniques based on computer vision show a significant improvement in recent decades. Despite the great variety, a majority of these techniques depend on specific photographic collections or video footage. For example, most are designed for large data collections, overlapping photos, captures from turntables or photos with lots of detectable features such as edges. If the input, however, does not fit the particular specification, most techniques can no longer create reasonable 3D reconstructions. We review the work in the research area of 3D reconstruction and 3D modeling with a focus on the specific capabilities of these methods and possible drawbacks. Within this literature review, the practical usability with the focus on the input data-the collections of photographs or videos-and on the resulting models are discussed. Upon this basis, we introduce our position of interactive 3D reconstruction and modeling as a possible opportunity of lifting current restrictions from these techniques, which leads to the possibility of creating CAD-ready models in the future.
Fully automatic 3D digitization of unknown objects
Image Processing: Machine Vision Applications III, 2010
This paper presents a complete system for 3D digitization of objects assuming no prior knowledge on its shape. The proposed methodology is applied to a digitization cell composed of a fringe projection scanner head, a robotic arm with 6 degrees of freedom (DoF), and a turntable. A two-step approach is used to automatically guide the scanning process. The first step uses the concept of Mass Vector Chains (MVC) to perform an initial scanning. The second step directs the scanner to remaining holes of the model. Post-processing of the data is also addressed. Tests with real objects were performed and results of digitization length in time and number of views are provided along with estimated surface coverage.
A Low-Cost Model Acquisition System for Computer Graphics Applications
Lecture Notes in Computer Science, 2003
Most 3D objects in computer graphics are represented as polygonal mesh models. Though techniques like image-based rendering are gaining popularity, a vast majority of applications in computer graphics and animation use such polygonal meshes for representing and rendering 3D objects. High quality mesh models are usually generated through 3D laser scanning techniques. However, even the inexpensive laser scanners cost tens of thousands of dollars and it is difficult for researchers in computer graphics to buy such systems just for model acquisition. In this paper, we describe a simple model acquisition system built from web cams or digital cameras. This low-cost system gives researchers an opportunity to capture and experiment with reasonably good quality 3D models. Our system uses standard techniques from computer vision and computational geometry to build 3D models.
Image-based 3D modelling is often an underconstrained and noise-sensitive process. Incorporation of geometrical constraints increases the robustness of this process, especially when dealing with small image sets. This relies on a human operator and his intuitive knowledge of the main properties of the objects commonly present in scenes. In this thesis we propose various approaches for the camera and model constraints satisfaction. In particular, we propose an original method for the satisfaction of constraints in an exact way. Contrary to most existing work, each proposed method is completed by algorithms dealing with problems engendered by insufficient user-provided input. The introduced methods are validated by reconstruction of 3D models from small image sets, and even from single images. The images used for reconstructions are taken from various sources, such as the Internet, postcards or architectural drawings.
Rapid 3D model acquisition from images of small objects
Proceedings Geometric Modeling and Processing 2000. Theory and Applications, 2000
This paper describes a system for rapid acquisition of 3D models of objects for use in applications such as CAD and VR. The system consists of an image capturing platform, which comprises a PC-controlled turntable and CCD camera, and associated computer vision and graphics algorithms for 3D model acquisition. An algorithm for accurately recovering 3D points from image sequences is described. Experiments performed on synthetic and real data show that the algorithm is accurate in recovering the coordinates of 3D points and is robust against noise in 2D feature location and 3D object rotation. Results of applying the system to acquiring 3D models of real objects are illustrated.
Image-based 3D Modelling: A Review
The Photogrammetric Record, 2006
In this paper the main problems and the available solutions are addressed for the generation of 3D models from terrestrial images. Close range photogrammetry has dealt for many years with manual or automatic image measurements for precise 3D modelling. Nowadays 3D scanners are also becoming a standard source for input data in many application areas, but image-based modelling still remains the most complete, economical, portable, flexible and widely used approach. In this paper the full pipeline is presented for 3D modelling from terrestrial image data, considering the different approaches and analysing all the steps involved.
Acquisition of detailed models for virtual reality
2000
Abstract More and more archaeological sites are being reconstructed in virtual reality. The problem remains the huge effort that has to be made to obtain realistic models. Besides on-site measurements, much time is often spent in manually rebuilding the whole site with a CAD package or a 3D-modelling tool. This limits the tractable complexity. In this paper two flexible automatic 3D surface acquisition systems are used to “virtualise” archaeological sites.