scholarly journals View Synthesis for Realistic Virtual Walk Through Based on Omni-directional Images

2009 ◽  
Vol 8 (4) ◽  
pp. 87-92
Author(s):  
Wang Chen ◽  
Wei Xu ◽  
Zhihui Xiong ◽  
Maojun Zhang

Virtual walk through can be widely applied in many industries such as virtual environment construction, history heritage conservation and scenic site exhibition etc. This paper proposes a more convenient and efficient approach to create realistic virtual walk through from catadioptric omni-directional images via view synthesis technique. Our innovation mainly lies in three aspects: omni-directional image preprocessing, image rectification and novel view interpolation. Acquisition and unwarping of omni-directional image are discussed firstly. Then, for specialty of cylindrical panoramic imaging, epiline-sampling method is adopted for rectification, which samples reference images along epilines as much as possible grounding on epipolar geometry. In this way, it can detract the rectified images from image deformation and resolution degeneration, which usually take place due to perspective transformation when using some other algorithms. As to novel view generation, a corresponding interpolation algorithm is developed. Pixels on novel view are formulated according to the cylindrical panoramic imaging model. Experiments carried out on both synthetic and real scene are given at the end of this paper, with a demonstration of the method's application in realistic virtual walk through.

2014 ◽  
Vol 513-517 ◽  
pp. 3890-3894
Author(s):  
Tian Qi Zhao ◽  
Xin Zhu Sang ◽  
Yang Dong Liu ◽  
Chong Xiu Yu ◽  
Da Xiong Xu ◽  
...  

A novel method to automatically generate the depth map is presented, when the depth maps of reference images located before and after the target image in the same image sequence are given. A novel grid dividing method and a joint feature response model are proposed to adaptively select trace points, and an image deformation algorithm is given to track depth maps with the trace points. Experimental results show that the proposed method can generate depth maps effectively and accurately, which can meet the industrial needs in 2D-3D conversion.


Author(s):  
H.W. Deckman ◽  
B.F. Flannery ◽  
J.H. Dunsmuir ◽  
K.D' Amico

We have developed a new X-ray microscope which produces complete three dimensional images of samples. The microscope operates by performing X-ray tomography with unprecedented resolution. Tomography is a non-invasive imaging technique that creates maps of the internal structure of samples from measurement of the attenuation of penetrating radiation. As conventionally practiced in medical Computed Tomography (CT), radiologists produce maps of bone and tissue structure in several planar sections that reveal features with 1mm resolution and 1% contrast. Microtomography extends the capability of CT in several ways. First, the resolution which approaches one micron, is one thousand times higher than that of the medical CT. Second, our approach acquires and analyses the data in a panoramic imaging format that directly produces three-dimensional maps in a series of contiguous stacked planes. Typical maps available today consist of three hundred planar sections each containing 512x512 pixels. Finally, and perhaps of most import scientifically, microtomography using a synchrotron X-ray source, allows us to generate maps of individual element.


Author(s):  
Michael schatz ◽  
Joachim Jäger ◽  
Marin van Heel

Lumbricus terrestris erythrocruorin is a giant oxygen-transporting macromolecule in the blood of the common earth worm (worm "hemoglobin"). In our current study, we use specimens (kindly provided by Drs W.E. Royer and W.A. Hendrickson) embedded in vitreous ice (1) to avoid artefacts encountered with the negative stain preparation technigue used in previous studies (2-4).Although the molecular structure is well preserved in vitreous ice, the low contrast and high noise level in the micrographs represent a serious problem in image interpretation. Moreover, the molecules can exhibit many different orientations relative to the object plane of the microscope in this type of preparation. Existing techniques of analysis requiring alignment of the molecular views relative to one or more reference images often thus yield unsatisfactory results.We use a new method in which first rotation-, translation- and mirror invariant functions (5) are derived from the large set of input images, which functions are subsequently classified automatically using multivariate statistical techniques (6). The different molecular views in the data set can therewith be found unbiasedly (5). Within each class, all images are aligned relative to that member of the class which contributes least to the classes′ internal variance (6). This reference image is thus the most typical member of the class. Finally the aligned images from each class are averaged resulting in molecular views with enhanced statistical resolution.


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