Three dimensional image reconstruction using interpolation of distance and image registration
01 Sep 2015-pp 1-5
TL;DR: Estimation of distance co-ordinates using distances obtained by ifm O3D200 three dimensional camera at lower resolution of image pixels is proposed and it has been observed that bilinear and bicubic interpolation gives better results eventhough the resolution of 3D camera is very less.
Abstract: Three dimensional view of objects is becoming of utmost importance. In day to day technology and entertainment applications, instead of using traditional multi-view technology. We are proposing estimation of distance co-ordinates using distances obtained by ifm O3D200 three dimensional camera at lower resolution of image pixels. The camera uses laser technology with time of flight principle. The same scene is imaged using high resolution 2D camera. The matching of certain feature points in 3D & 2D camera scene and interpolating distance a 3D view can be reconstructed by simple triangulation process. The main features used are edges linked used Hough transform for matching and image registration. It has been observed that bilinear and bicubic interpolation gives better results eventhough the resolution of 3Dcamera is very less. We further applied technique for computation of volume in water tank and trench, which was very close to the actual measurement.
Citations
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13 May 2019
TL;DR: This work proposes a sequential encoder-decoder-based framework and employs the attention mechanism to incorporate social context and temporal context into the imputation task of social-aware time series imputation.
Abstract: Different time series is measured in almost all fields including biology, economics and sociology. A common challenge for using such data is the imputation of the missing values with reasonable ones. Most of existing approaches to data imputation assume that individual's observations are independent to each other, which is rarely the case in real-world. In this paper, we study the social-aware time series imputation problem. Given a social network that represents social relations between individuals, we propose a sequential encoder-decoder-based framework and build a connection between the missing observations and the social context. In particular, the proposed model employs the attention mechanism to incorporate social context and temporal context into the imputation task. Experimental results based on two real-world datasets demonstrate that our approach outperforms 11 different baseline methods.
6 citations
Cites methods from "Three dimensional image reconstruct..."
...Similar methods include smoothing [38], interpolation [1, 45], and spline [36], which are simple and practical when data evolves smoothly....
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01 Jan 2018
TL;DR: This chapter develops analytical expressions for piecewise linear interpolation on unstructured tetrahedral meshes that allow to perform the supercomputer calculations with less amount of resources as dynamic computer memory.
Abstract: This chapter develops analytical expressions for piecewise linear interpolation on unstructured tetrahedral meshes. These expressions are crucial because most of the arithmetic operations are performed analytically and these operations no longer need to be repeated during using the software. So, these expressions allow to perform the supercomputer calculations with less amount of resources as dynamic computer memory. The interpolation on unstructured grids plays a key role for numerical solving of last amount of problems in seismic exploration of oil and gas, non-destructive testing of different up-to-date complex materials, investigation of seismic stability of different complex objects like nuclear power plants, and especially for summation of injuries of human bodies for medicine.
Patent•
05 Jun 2020
TL;DR: In this article, the authors proposed a target distance measuring system for playing a voice alarm file related to traffic difficulties when a numerical value obtained by subtracting a preset vehicle left rearview mirror width from a front handrail distance is less than or equal to the preset vehicle body width.
Abstract: The invention relates to a target distance measuring method. The method comprises the following steps: providing a target distance measuring system for playing a voice alarm file related to traffic difficulties when a numerical value obtained by subtracting a preset vehicle left rearview mirror width from a front handrail distance and then subtracting a preset vehicle right rearview mirror width is less than or equal to a preset vehicle body width.
01 Jan 2018
TL;DR: The chapter develops the analytical formulae for high-order interpolation on the unstructured triangular grids, such as the polynomial interpolation, piecewise linear interpolations, and hybrid interpolation.
Abstract: The chapter develops the analytical formulae for high-order interpolation on the unstructured triangular grids, such as the polynomial interpolation, piecewise linear interpolation, and hybrid interpolation. The interpolation might be used during the creation of new unstructured triangular or regular gird instead of previous ones as an element of numerical method for finding 2D solutions on the unstructured triangular grids and visualization of some 2D field, as well as during the images’ creation or converting. Also the hierarchical nested unstructured triangular grids are discussed in this chapter. This type of grids can be used as an element of numerical method on the unstructured triangular grids for the visualization, creation, and transformation of 2D images. The more the numerical mathematicians work, the faster the software executes and the lesser hardware resources are needed for obtaining the same solution. Analytical formulae reduce the recourses needed, for example the software operation time and amount of dynamic computer memory. In this chapter, one can find the analytical expressions ready for use. The deduced analytical expressions and formed tables help to achieve the huge numerical modelling results in a case of the hardware resources’ deficiency.
01 Jan 2018
TL;DR: In this paper, several approaches for hybrid interpolation are discussed, including hierarchical nested unstructured tetrahedral grids and hybrid parabolic interpolation on the reference points for interpolation of fourth order.
Abstract: Analytical expressions for polynomial interpolations of high-orders are discussed in the chapter. Also in this Chapter several approaches for hybrid interpolation are discussed. Using algorithms for the piecewise linear interpolation one can obtain the hierarchical nested unstructured tetrahedral grids. The recurrent formulae for recalculation of the local reference points’ indices to the global reference points’ indices are discussed in the chapter as well. An example of hybridization called hybrid parabolic—linear interpolation is considered. Another example of hybridization based on a limiter is considered as well. An example of approach based on both hierarchical nested unstructured grids and hybridization called parabolic interpolation on the reference points for interpolation of fourth order is offered in the chapter.
References
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TL;DR: Simulation results demonstrate that the new interpolation algorithm substantially improves the subjective quality of the interpolated images over conventional linear interpolation.
Abstract: This paper proposes an edge-directed interpolation algorithm for natural images. The basic idea is to first estimate local covariance coefficients from a low-resolution image and then use these covariance estimates to adapt the interpolation at a higher resolution based on the geometric duality between the low-resolution covariance and the high-resolution covariance. The edge-directed property of covariance-based adaptation attributes to its capability of tuning the interpolation coefficients to match an arbitrarily oriented step edge. A hybrid approach of switching between bilinear interpolation and covariance-based adaptive interpolation is proposed to reduce the overall computational complexity. Two important applications of the new interpolation algorithm are studied: resolution enhancement of grayscale images and reconstruction of color images from CCD samples. Simulation results demonstrate that our new interpolation algorithm substantially improves the subjective quality of the interpolated images over conventional linear interpolation.
1,933 citations
"Three dimensional image reconstruct..." refers background in this paper
...Spline interpolation is preferred over polynomial interpolation because the interpolation error can be made small even when using low degree polynomials for the spline [9][10]....
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Book•
05 Nov 1992
TL;DR: This chapter discusses practical contouring techniques, as well as general concepts of contouring, and discusses program adaptations, which are used in many of the books on the subject.
Abstract: Section and chapter headings: Figures and tables. Series Editor's foreword. Preface. Practical Contouring. Getting a picture. Data preparation. Setting contour levels. Data windows. Adjusting surface tautness. Display types. Changing color-fill colors. Computing volumes. Trouble shooting. Program adaptations. Principles of Contouring. General concepts of contouring. Data sorting. Subset selection. Local coordinates. Gradient estimation. Interpolation. Blending functions. Output techniques. Execution efficiency. Some published programs. Glossary of contouring terms. References to contouring literature. Appendix: included software. Index. 37 illus., 600 lit. refs. approx.
631 citations
"Three dimensional image reconstruct..." refers background or methods in this paper
...2) Bi-cubic and Bilinear interpolation: Bi-cubic interpolation is an extension of cubic interpolation for interpolating data points on a two dimensional regular grid [6] whereas bilinear interpolation is an extension of linear interpolation for interpolating functions of two variables on a regular 2D grid [7][8]....
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...final image thus obtained is said to have best information from the initial images.[7]...
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Journal Article•
TL;DR: The purpose of this paper is to provide a comprehensive review of the existing literature available on Image registration methods and believe that it will be a useful document for researchers longing to implement alternative image registration methods for specific applications.
Abstract: Image registration is a vital problem in medical imaging. It has many potential applications in clinical diagnosis (Diagnosis of cardiac, retinal, pelvic, renal, abdomen, liver, tissue etc disorders). It is a process of aligning two images into a common coordinate system thus aligning them in order to monitor subtle changes between the two. Registration algorithms compute transformations to set correspondence between the two images the purpose of this paper is to provide a comprehensive review of the existing literature available on Image registration methods. We believe that it will be a useful document for researchers longing to implement alternative Image registration methods for specific applications.
276 citations
TL;DR: The proposed method uses both image processing and point-cloud merging to combine texel images in an iterative technique to improve the quality and robustness of fused 3D images.
Abstract: Creation of 3D images through remote sensing is a topic of interest in many applications such as terrain / building modeling and automatic target recognition (ATR). Several photogrammetry-based methods have been proposed that derive 3D information from digital images from different perspectives, and lidar- based methods have been proposed that merge lidar point clouds and texture the merged point clouds with digital imagery. Image registra tion alone has difficulty with smooth regions with low contrast, whereas point cloud merging alone has difficulty with outliers and lack of proper convergence in the merging process.
This paper presents a method to create 3D images that uses the unique properties of texel images (pixel fused lidar and digital imagery) to improve the quality and robustness of fused 3D images. The proposed method uses both image processing and point-cloud merging to combine texel images in an iterative technique. Since the digital image pixels and the lidar 3D points are fused at the sensor level, more accurate 3D images are generated because registration of image data automatically improves the merging of the point clouds, and vice versa. Examples illustrate the value of this method over other methods.
10 citations
"Three dimensional image reconstruct..." refers methods in this paper
...Budge [2] proposed a techniques which uses depth points using liDar point cloud merging so as to obtain a 3D reconstruction of the scene....
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