This is the world of electronic media, and many things are now depending upon digital media. In this electronic era different business has now become dependent of electronic media, for their sales and revenue. Number of companies is making remarking revenues with the aid of internet. Different companies are running their business online. In electronic media and in the field of computer science thousands of things involved in making new and amazing products, with a help of which a person is able to deploy new and creative ideas. In early days of computer there were only static images.
Image is a picture made from the collection of different colors of pixels. An Ordinary image is 2D image usually such as photograph. They usually captured by camera and other digital devices, theses devices saves picture as human eye. The image is usually used for a two dimensional figure. In computers, 3-D (three dimensional images) describes an image that gives perception of depth. Users usually need plug-ins to view 3-D images.
Virtual reality experiences may need additional plug-in. 3-D images creation can be divided into three phases: tessellation, geometry and rendering. Popular products of 3-D images are many, some of them are listed below: Extreme 3D, Light Wave 3D, Ray Dream Studio, 3D Studio MAX, Softimage 3D, and Visual Reality. Images and videos have a promising future in the world of computers. Making 3-D images from static images is not an easy task; it needs time, efforts and a sense of creativity. Making 3-D arbitrary images has a great scope and needs a wide and clear view of creator.
In static images, it’s easy to find out geometry information in few steps, and to use those values in making 3-D images is quiet difficult. Image video based rendering (IVBR) is currently solve the problem up to some extent by using adapted generic human geometry which include use of high cost equipments. As, human brain has great ability to produce motion in static pictures, however, different approaches are also used in this way.
Generally speaking, making static motion “live” is little difficult so proper approach and methods play an important and creative role in overall scene. VRH is a problem solving approach currently using in field of graphics, once the VRH solution is proved, it will open the door for further investigation. VRH (View reconstruction of humans) focused only creating motion in human static pictures. Different methods and approaches, algorithms are available for 3D reconstruction. Few of them are listed below:
3D object reconstruction and representation using neural networks
This Method focuses on 3D images reconstruction using neural networks. This approach uses simple affined transformation on input images and than compared by other real objects. This method is easy to implement and also it has few steps.
3D reconstruction using labeled image regions
In this methods user defines a set of polygonal regions with corresponding labels in each image using 2D image editing tools. This algorithm computes 3D model with full volumes with the respect of regions in input images. This algorithm uses only 2D intersection models, and directly calculates polygonal vales of image. It’s a fast algorithm and computes volumes with respect to region which makes the whole process easy and show marvelous results on screen that are almost impossible by using other methods.
Reconstruction and representation of 3D objects with radial basis functions.
This method uses polyharmonic radial functions to reconstruct smooth and minified surfaces from point cloud data (Interactive techniques, 1999). In this method, an object surface is defined as zero set of RBF fitted as RBF methods allows us to collect large data sets. An algorithm is used in this approach reduces the number of RBF centers. The energy-minimization characterization of polyharmonic spines result in a “smoothest” interpolant and surface. This approach use non-interpolating approximation when data is noisy. This helps to create smooth and uniform meshes which show that RBF has advantages in creating meshes and remeshes.
Relative 3D Reconstruction Using Multiple Uncelebrated Images
This method describes optimization based algorithm for reconstructing a 3D model from a single, inaccurate 2D edge graph, which provides input for reconstruction process. This approach is more tolerant of faults and defaults comparatively to other approaches. This algorithm provides input from 2D edge graph.
3D scene modeling using pose-free reconstruction
It uses hardware trackers and self-calibration and eliminates camera position, camera orientation parameters from the modeling process. This method creates smooth nice pictures by eliminating all previous camera positions and parameters (3D modeling, 2008).
Improving the neural meshes algorithm for 3D surface reconstruction with edge swap operations
This method creates smooth surfaces using points of unorganized points which uses in different applications including medical scanners and large range scanners. This model presents a modified version of neural meshes with edge swap. It creates the new modified themes based on original neural meshes algorithm. This method is a fastest method among all others and produces marvelous results (Neural Meshes, 2007).
The Study of 3D Reconstruction Method Based on Dynamic Threshold Method and Improved Ray Casting Algorithm
This algorithm improved the quality and speed of results, it uses dynamic threshold method, divides region on interest from the center and then extends bonding box algorithm to 3D (Ning, 2008). This method has fast results and god quality image as output.
Reliability-based 3D reconstruction in real environment
This method uses 3D reconstruction plan that guarantees robust visual hull construction. This method consists of foreground extraction and reliability based shape by the intra-/inter-silhouette reliabilities. This method/approach has a great impact on resolution of pictures (HangSun Kim, 2007).
All above methods has its own importance and results. These methods are used to reconstruct 3D image from static images. Every method has its own requirements and outputs. Image based approach is one of the best approach for reconstruction of 3D articulated/ non articulated images. Existing techniques give good results but there is a need of proper implementation with proper expertise. New and advanced technologies have the ability to speed up the existing system and produce quality and enhanced images than before. Certain theories/algorithms boost up the process and produce fast and effective results in short time.
Above Stated algorithm/methods are based on different ideas. Research is still in progress and more accurate results are in progress. Image based approach usually depends on basic idea of collecting pixels and the entire approach is based on VRH (View Reconstruction for Humans) that whether we can create of human movement under arbitrary points just from some static images. To test this certain idea different process are in progress to produce an effective and useful theory in future.
This research is very helpful for entertainment related business as they need more of images and videos.3D images construction and reconstruction is widely used in Media or TV related fields as there is always a need of new and different presentations. In this field, beside expertise sense of creativity is very important as it empowers person to produce nice and unique results from others. Multimedia, digital media have strength to give totally new and unique shape to your business. With the aid of multimedia a person can enhance his abilities and also take his business up to high level. New 3D reconstruction theories are based and derived from existing theories, infect the examples and samples in new theories are also taken from existing theories. New theories are a modified version of existing 3D reconstruction theories.
Facts and data used in these researches are usually taken from previous or existing theories and their implementations. 3D reconstruction has a great scope in its related fields such as such as image/video editing, computer games, and the film industry. They have major impact in USA and UK organization and earning major incomes and revenues. In Asia Pacific there is a need of promoting this fact and to use it in a way to generate income.
3D reconstruction methods and approaches are widely used in different fields like medical sciences, media; TV etc. 3D reconstruction makes presentation more attractive and unique. By the help of 3D images a person can easily upgrade and enhance presentation. 3D reconstruction is now very common and different organizations are using different approaches depending upon their criteria and requirements.
References List
- Interactive Technologies, 1999, Paper on computer Graphics. Web.
- 3D modeling, 2008, 3D scene Modeling. Web.
- Neural Meshes Algorithm, 2007, Improving the neural meshes algorithm for 3D surface reconstruction with edge swap operations. Web.
- Ning Li, 2008, Study of 3D reconstruction. Web.
- Hungsim kin, 2007, Reliability-based 3D reconstruction in real environment. Web.