Interactive Visual Hull Refinement for Specular and Transparent Object Surface Reconstruction

Author(s):  
Xinxin Zuo ◽  
Chao Du ◽  
Sen Wang ◽  
Jiangbin Zheng ◽  
Ruigang Yang
2009 ◽  
Vol 8 (2) ◽  
pp. 39-44
Author(s):  
Jie Feng ◽  
Bencong Song ◽  
Bingfeng Zhou

Bottom and concave shapes on object surface are difficult to reconstruct in image-based visual hull method. In this paper, we propose a simple but efficient method to solve these problems in regular image-based visual hull framework. With the help of a simple image acquiring platform which involves a glass and a mirror, we can capture images of the object from both upper and lower side at the same time. Using these images, silhouette cones necessary for reconstructing the bottom and the concave surfaces could be generated. Therefore the final rendering result of the object can be significantly improved in accuracy and reality, especially in the parts of bottom and concaves.


2010 ◽  
Vol 143-144 ◽  
pp. 768-772
Author(s):  
Shao Yan Gai ◽  
Fei Peng Da

A surface reconstruction method for material shape analysis is presented. The three-dimensional shape reconstruction system detects object surface based on optical principle. A series of gratings are projected to the object, and the projected gratings are deformed by the object surface. From images of the deformed gratings, three-dimensional profile of the material surface can be obtained. The basic aspects of the method are discussed, including the vision geometry, the light projection and code principle. The proposed method can deal with objects with various discontinuities on the material surface, thus increasing the flexibility and robustness of shape reconstruction process. The experimental results show the efficiency of the method, the material surface can be reconstructed with high precision in various applications.


2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Yijun Ji ◽  
Qing Xia ◽  
Zhijiang Zhang

3D reconstruction based on structured light or laser scan has been widely used in industrial measurement, robot navigation, and virtual reality. However, most modern range sensors fail to scan transparent objects and some other special materials, of which the surface cannot reflect back the accurate depth because of the absorption and refraction of light. In this paper, we fuse the depth and silhouette information from an RGB-D sensor (Kinect v1) to recover the lost surface of transparent objects. Our system is divided into two parts. First, we utilize the zero and wrong depth led by transparent materials from multiple views to search for the 3D region which contains the transparent object. Then, based on shape from silhouette technology, we recover the 3D model by visual hull within these noisy regions. Joint Grabcut segmentation is operated on multiple color images to extract the silhouette. The initial constraint for Grabcut is automatically determined. Experiments validate that our approach can improve the 3D model of transparent object in real-world scene. Our system is time-saving, robust, and without any interactive operation throughout the process.


MENDEL ◽  
2018 ◽  
Vol 24 (1) ◽  
pp. 129-134
Author(s):  
Pavel Starha ◽  
Jana Prochazkova ◽  
Dalibor Martisek

The usage of a tandem-scanning reflected-light microscope is not common but this technology offers the wide possibilities in the area of the surface reconstruction. This article presents a method that can reconstruct the 3D relief from a single image with a known calibrated set of images. The method uses the property that the points in the same height are visualized in the same color and we propose the nonlinear optimization to find this dependence. Subsequently, the low brightness parts are added by circular partial convolution.


Author(s):  
W. Engel ◽  
M. Kordesch ◽  
A. M. Bradshaw ◽  
E. Zeitler

Photoelectron microscopy is as old as electron microscopy itself. Electrons liberated from the object surface by photons are utilized to form an image that is a map of the object's emissivity. This physical property is a function of many parameters, some depending on the physical features of the objects and others on the conditions of the instrument rendering the image.The electron-optical situation is tricky, since the lateral resolution increases with the electric field strength at the object's surface. This, in turn, leads to small distances between the electrodes, restricting the photon flux that should be high for the sake of resolution.The electron-optical development came to fruition in the sixties. Figure 1a shows a typical photoelectron image of a polycrystalline tantalum sample irradiated by the UV light of a high-pressure mercury lamp.


2004 ◽  
Vol 114 ◽  
pp. 277-281 ◽  
Author(s):  
J. Wosnitza ◽  
J. Hagel ◽  
O. Stockert ◽  
C. Pfleiderer ◽  
J. A. Schlueter ◽  
...  

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