Christi Pereira Department of Computer Engineering

Christi Pereira Department of Computer Engineering, L.T.C.O.E., New Mumbai, India. [email protected] Sujata Deshmukh Department of Computer Engineering, L.T.C.O.E., New Mumbai, India. [email protected] Abstract A virtual tour is a simulation of an existing location or scene or thing, usually composed of a sequence of videos or still images. A virtual tour is usually a collection of panoramic images that are played in sequence to view everything in all directions, like a moving video. 1, 2. Virtual tour can be created through video tour, walkthrough or flyover depending on application or things that users want to simulate in virtual world. A video tour is a full motion video of a location. But size of video, consumes more bandwidth to download it, long download time, need of specific software, resolution and compatibility issues, are limitation of video tour 2. So, the aim of this project is to create virtual walkthrough to simulate the experience of moving through space by avoiding the limitation of video tour. In this project, virtual walkthrough is created using collection of images that are played in sequence to give panoramic view like a moving video. It is designed to give cylindrical view the like3D viewof the location being presented in the tour. This Virtual walkthrough based on real-world photography typically do not require the use of virtual reality goggles or headsets of the kind used by gamers. This system uses the concept of image stitching in which images of overlapping domain of view are blended together to result in a panoramic image. Further stitched panoramic image is used to create virtual walkthrough. So, this project is divided into two phases, in first phase image are stitched using Scale Invariant Feature Transform (SIFT) method and in the second phase the realistic walk through the stitched image is render by using single viewpoint central projection. The first phase scene images undergo through 3 stages. First stage is the image enhancement which is to enhance features of images. In second Stage, image registration using SIFT method is used to bring out specific features of images. Further, in third stage, selection of optimal feature and image blending techniques are used. And finally, in second phase virtual walk through of stitched image is render. Limitation of this approach, objects should not be moving at the time of capturing the images. As compared with video tour, the virtual walkthrough tour through image, significantly reduce the size from MB to KBs still providing the same view like video. Thus, it is providing better quality realistic walk through with less memory utilization. So this Virtual Walkthrough can address a fundamental need within online selling web sites of e-commerce domain or the property industry. It provides a tool to connect buyers and with online sites to view products or things really like by presenting 360 degrees view. Further it can be used to enhance buying experience by providing the walkthrough to the buyers on social media, mobile devices and over email. Keywords Walkthrough Image based approach SIFT, RANSAC Homography Transformation Image Stitching Image Mosaic. Introduction Image stitching is the process in which photographic images of similar environment are integrated to form a new image with high resolution. Images are overlapped with wide field of view to form a panorama. Building a stitched image from a sequence of partial views is a powerful mean of obtaining a broader view of a scene than from a single view. Panorama image stitching is process of combining two or more images of the same scene into one high resolution image called as panoramic image. In todays world an image stitching is considered as a dynamic research area in computer visualization and graphics. In recent years many algorithms deal with panoramic image stitching problem. Panorama Image stitching process can be divided into four main components are image registration, image warping, color correction, image labeling and image blending. There are two main techniques considered for image stitching techniques in which first one is regional and second one is feature based techniques. Methods that use pixel-to-pixel image matching are often called direct methods as contrasting to the feature-based methods. The task of generating video from photographs is receiving increased attention in many applications including, architectural sites and road scenes. The work is well suited for navigation on Personal Digital Assistants (PDAs) and Personal Computers, includes, cases where buildings are destroyed and only the archive images are available. In put forwarded methodology a new approach which uses 360-degree panoramic images to compose a virtual environment. The panoramic images can be created with specialized cameras or by stitching together overlapping pictures taken with a regular camera. Interactive walkthrough 11 of real environment have been a very important area of research for computer vision and graphics field. It gives user a sense of being there virtually. Most 3D walkthrough system use the computer-generated images (CGI) and 3D objects. But to create the walkthrough that simulate the real environment is very complex task. It involves 3D modelling and image-based rendering (IBR) techniques to simulate real environment and navigate through it. Interactive walkthrough uses image-based rendering (IBR) methods to simulate the real environment. Image based rendering is about synthesize a new view from a set of regular images. After extracting the geometric information of scene from set of images that is using image-based modelling techniques to create panorama view of scene, suitable image-based rendering method is used. This will give user better experience of roaming in real environment virtually. Proposed work The purposed of Proposed design system is used to create a high-resolution image (panorama) set of images of the same scene with overlapping fields are combine stitched image. The panorama provide information of each image that contains all the information needed to look around in 360 degrees. A set of images can be connected to form a walkthrough sequence. Due to this user is limited to restrict its view of walkthrough. The proposed method will provide horizontal and vertical view of walkthrough in a single view point from the stitched image. Image stitching is the process of combining different photographic images of particular scene with overlapping fields of view to produce a high-resolution image. The panoramas are orientation independent because each of the images contains all the information needed to look around in 360 degrees. A number of these images can be connected to form a walkthrough sequence. Due to this user is limited to restrict its view of walkthrough to cylindrical. The proposed method will provide horizontal and vertical view of walkthrough in a single view point. The well-known feature-based techniques is SIFT (Scale-Invariant Feature Transform) technique is very robust nature. The pre-processing techniques are applied to find the distortion in captured images. Using SIFT, key points in each input images are calculated. More compute the transformation that aligns the points in the first image to points in the second image using match score, average distance and homography method using RANSAC. A calculated transformation matrix is used to stitch the given input images. Virtual walkthrough from stitched image is render by using the single viewpoint central projection which is view on cylindrical surface. Image Acquisition Image Acquisition can be basically of three types as the camera is set upon a tripod, Camera on the sliding plate and hand-held camera. Acquiring images by a hand-held camera is very easy to manage and can be performed in many locations where it might be difficult to set up equipment such as the tripod or the sliding plate. So, the system uses hand held camera for image acquisition. Figure 1. Block diagram of Proposed Framework Preprocess images Distortion can be asymmetrical patterns, the most generally encountered distortions are radially symmetric, arising from the symmetry of a photographic lens. Theseradial distortionscan usually be classified as eitherbarreldistortions orpincushiondistortions 14. In proposed work is concern with barrel distortion as imagemagnificationdecreases with distance from theoptical axis 14. Further calculating cylindrical images because its easy to project the images onto the surface of a cylinder and then unroll the cylinder to make it a flat plane. (a) (b) Fig. 1 Input images Image Stitching The proposed methodology has following steps First, pre-processing techniques are applied to find the distortion in input images. Second, key points in each input image using SIFT method are considered. Third, the match is found in the overlapping images using the SIFT descriptors and Calculate homography that maps key points in the two overlapping images. Fourth, compute the match score of each key point and calculate the average distance between key points. Five, Compute composite image using the images and the transformation matrix. Fig. 2 Key points matched in the First and Second image Panorama image A panorama is an image that can be viewed up to a full 360 degrees, having a wide field of view. Image stitching for panoramic views needs all images to be taken from a single viewpoint, i.e., are only rotated about their optical centre. The images can be combined to create the whole viewing cylinder for their common viewpoint and generate vertical field of view images of any desired direction. Fig. 4.5 Final Stitched Panoramic Image. Rendering Walkthrought The panorama, recorded on a cylindrical surface, can be naturally displayed on cylindrical surfaces as well. However, they can be viewed on more common planar surfaces such as flat screens, in which case the panoramic image should be projected from the cylinder onto a plane. The cylindrical panoramic images are created using circular projections as they should be projected into the planar image surface using a central projection. As central projections introduce fewer distortions and are symmetrical for the left and right images. A central projection about the centre of the cylinder with the image plane tangent to the cylinder is called as natural projection. It is symmetric for the left side and the right side of the image as well as symmetric between the left-eye and right-eye projections 35. . EXPERIMENTAL RESULTS The Proposed work is applied on set of 30 images with only 20 of overlapping are considered for experimentation. It is observed that the results presented are indicative of the algorithm performance on images of any natural scenes. The overall accuracy obtained from the result is 90 by visual observation. Table 4.3 reveals the comparison of the first frame with other frames resulting with the corresponding mean values of the difference. The difference between the first frame and the second frame, inferring that the adjacent frames will have less difference i.e. more overlapping. The adjacent frames with 20 overlapping gives a smooth flow which assistances in automatic virtual walk through a stitched image. conculsion and future scope The purpose of this work is to let users experience the feel of realistic walkthrough from a stitched image with understanding and imagination about a particular scene. This project is providing better quality realistic walk through with less memory utilization. So, this Virtual Walkthrough can address a fundamental need within online selling web sites of e-commerce domain or the property industry. As compared to video tour virtual walkthrough provides following advantages It requires minimum time to create. No need of any specific software or specific resolution or compatibility to view virtual walkthrough. In future, virtual walkthrough can be enhanced by adding sound, animations and special effect to make more realistic. As this system is considered the stationary objects for imaging, so it can be append the images of moving objects which may lead in shift of object position, or scene motions such as flying objects or people moving in and out of pictures. This area can be enhanced using hybrid technique which use multi model approach in matching feature points of images. 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In Proceedings of the 24th annual conference on Computer graphics and interactive techniques, pp. 225232, 1997. Acquire images Preprocess images Radial Distortion Cylindrical images Image Stitching Image Registration Feature detection Match Score Average Distance Stitched Panoramic image Rendering Walkthrough on cylindrical surface iU( (R7p _JorM3wB/Oyv GNyghyqsHA0n2k7 pbwNC8vIfd6q9V6QnZqpp yUzxzzbF8Iu)cjh1zhav
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