An Effective Blending Method for Panoramic Images in Image-based Virtual Reality
نویسندگان
چکیده
Image blending is very important for image stitching with visible seams. An effective blending method for panoramic images in image-based virtual reality is proposed in this paper. The proposed blending method is a two-phase scheme. The histogram-based blending is first applied in the first phase scheme; and then in the second phase scheme, the weighted blending is used under the result of the first phase scheme. Seamless image stitching is obtained by using the proposed two-phase scheme of blending method. The concepts of the weighted blending and the histogram-based blending are included in the proposed blending method, thus the advantages of the weighted blending and the histogram-based blending are also obtained in the proposed blending method. Based on experimental results, the performance of the proposed blending method is better than the three basic blending schemes (the weighted blending, the adaptive blending, and the histogram-based blending). Besides application of image-based VR with the panoramic images, the proposed blending method would be further used in the panoramic video. Hence, the proposed method would be very useful for computer vision.
منابع مشابه
A Method for Generation of Panoramic View based on Images Acquired by a Moving Camera
Panoramic photo stitching is the process of combining multiple photographic images with overlapping fields of view to produce a panorama. The process to generate a panoramic view can be divided into three main components image acquisition, image registration, and blending. In this paper, a robust algorithm called Scale Invariant Feature Transform (SIFT) used to extract the features from the ima...
متن کاملA Novel Approach for Generation of Panoramic View
Panoramic image stitching is the process of combining multiple photographic images with overlapping fields of view to produce a panorama. First, salient features are robustly detected from the input images by a robust algorithm called Scale Invariant Feature Transform (SIFT). SIFT features are invariant to rotation, translation, image scaling and partially invariant to 3D viewpoint, illuminatio...
متن کاملAn Algorithm for Seamless Image Stitching and Its Application
Panoramic image stitching used to create virtual environments for many applications is crucial for IBR. In this paper, we introduce a four-step algorithm based on SIFT features which makes some improvements on large exposure difference, large scene motion or other misregistrations when stitching panoramic images. We introduce a new method that is to add the adjacent images according to a weight...
متن کاملImproving the quality of images synthesized by discrete cosines transform – regression based method using principle component analysis
Purpose: Different views of an individuals’ image may be required for proper face recognition. Recently, discrete cosines transform (DCT) based method has been used to synthesize virtual views of an image using only one frontal image. In this work the performance of two different algorithms was examined to produce virtual views of one frontal image. Materials and Methods: Two new meth...
متن کاملVirtual Navigation of Complex Scenes using Clusters of Cylindrical Panoramic Images
The traditional approach of generating novel virtual views of an object or a scene is to render the appropriate 3-D model. The alternative is to render directly from the original images; this approach, which is based on pixel interpolation or reprojection, is called image-based rendering. In this paper, we describe a technique that enables virtual navigation within a complex environment using a...
متن کامل