TCSVT论文结构整理

官网要求看这里。

TCSVT论文结构整理

  • 论文结构
  • 摘要
    • 问题综述
    • 算法概括(算法细节)
    • 实验结果
  • Index Terms
  • Introduction
    • 引子 + 应用场景
    • 现状概述
    • 论文结构介绍示例
  • Experiments and Discussion
    • 第一段(综述)
    • 第一节(实验设置)
    • 第二节(实验结果及比较)
  • Conclusion
    • 方法功能综述
    • 各部分概括(或优势重申)
    • 实验结果
    • 功能拓展
    • 未来计划
  • 其他问题

论文结构

论文结构基本相同,依次为:

  • Abstract --> Index Terms --> Introduction --> (Related Works/Background and Motivation) --> Proposed Method --> More Info --> Experimental Results/Experiments and Discussion/Experiments --> Conclusion

这个结构中间有轻微的差异,如大部分论文会将Related Works等放在Introduction里面作为一个小节,也有的论文会将Contributions也单独列出来作为一个小节。方法的介绍通常分为两章进行,具体的题目可以根据需要变动。结构中其他章节的名称和内容基本一致,实验部分通常直接命名Experimental Results,但也可例外。论文的篇幅通常为14页。

下面将按照论文的顺序,分析各个部分的撰写规则。

摘要

摘要部分通常的篇幅在24-30行(198-276字)查到了官网要求,在150-200字之间,通常在25行左右(24-26)。内容主要遵从以下结构:

  • 问题综述 --> 算法概括 (算法分部介绍) --> 实验结果及评价(总结)。

注意在算法概述中,应用一般现在时。

问题综述

问题综述通常用简单的一句话概括目前工作的意义(通常涉及应用场景和挑战)和目前方法存在的问题,从而引出文章中要介绍的工作。因此,这一部分的介绍需要与具体工作相关联,最好有衬托的作用。

问题综述例句:(高亮部分为应用场景举例)

  1. Large disparity stereo matching is critical to the application of stereo vision system especially for outdoor scenes. Nevertheless, how to efficiently design high accuracy large-disparity stereo matching on FPGA is still a grand challenge. // The computational complexity of previously proposed stereo matching is inevitably propotional to disparity range, hence their hardware designs become very inefficient when the disparity range is large.
  2. Stereo matching is a challenging task because stereo images are affected by many factors, such as radiometric distortion, sun and rain flare, flying snow, occlusion, textureless and noisy image regions, and object boundaries. // However, most of the existing methods for stereo matching aim to solve only one specific problem. As a result, their performance is degraded significantly when operating with stereo images captured under a variety of scenes and conditions. ——这个问题综述相比较上一个而言,可读性差了一点,可能是描述方式使得读起来很冗长。
  3. Stereo matching is a challenging problem, and high-accuracy stereo matching is still required in various computer vision applications, e.g., 3-D scanning, autonomous navigation, and 3-D reconstruction.
  4. Estimating the disparity and normal direction of one pixel simultaneously, instead of only disparity, also known as 3D label methods, can achieve much higher subpixel accuracy in the stereo matching problem. However, it is extremely difficult to assign an appropriate 3D label to each pixel from teh continuous label space R 3 R 3 R 3 R3R3 \mathbb R^3 R3R3R3d and can significantly reduce the computational complexity of disparity computation and refinement as well. Then we further design a fully pipelined architecure for the proposed NIPM-sWMF and exploit several techniques to improve processing capability and reduce hardware overhead.

实验结果

这一部分用几句话简单总结实验结果,主要用于突出算法的优势和应用场景(数据库)。

  1. Experiments demonstrate that our algorithm offers excellent high accuracy performance in both indoor and outdoor environments. This algorithm can be regargded as one of the state-of-the-art stereo methods.
  2. We evaluated and compared the proposed matching cost function and several state-of-the-art matching cost functions using various stereo matching data sets, and the experimental results show that the proposed matching cost method was wuperior to the state-of-the-art matching cost methods across the data sets.
  3. Evaluation shows that the proposed method obtains highly accurate disparity maps, and currently ranks first on the official Middlebury 3.0 benchmark among all existing methods. Compared with the other global methods that are also based on PatchMatch, the proposed method achieves better results on Middlebury 2006 data set, and is more efficient for high-resolution images.
  4. By extensive evaluation on KITTI2015 and Middlebury V3 stereo datasets, the proposed NIPM-sWMF can achieve comparable disparity accuracy with those more sophisticated stereo matching designs. Implementation results on FPGA further show that the proposed NIPM-sWMF substantially outperforms previous stereo matching designs in terms of real-time performance and hardware efficiency especially when the disparity range is large. The experimental results clearly demonstrate that the propsoed NIPM-sWMF is an efficient solution for large-disparity stereo matching system.

功能拓展

这一部分主要介绍了算法未在论文中说明的可能的拓展(如果有的话)。

  1. In addition, although the proposed NIPM-sWMF design is implemented and evaluated on FPGA in this paper, it can be employed to efficient integrated circuit design as well.
  2. Furthermore, this study can be extended in terms of optimizing the computational complexity and reducing the number of parameters.

未来计划

这一部分主要简述在本文的基础上,下一步的工作方向。

  1. Future research will be applied to additional indoor and outdoor scenes.
  2. High computation time is a main limitation of our proposed matching cost function. Since the proposed matching cost is based on windows, it can be processed in parallel. Therefore, implementing it in a field-programmable gate array is one solution.
  3. In the future, we would like to add semantic information to our PMSC model, and extend our algorithm to multiview scenario.

其他问题

  1. 与之前的工作不同,近几年的论文逐渐会出现用第一人称做主语的情况,但比较常用的通常是We、Our,而非其他第一人称。

你可能感兴趣的:(文章写作)