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  1. The illumination-invariant recognition of 3D objects using local color invariants.pdf

  2. The illumination-invariant recognition of 3D objects using local color invariants.pdf
  3. 所属分类:教育

    • 发布日期:2011-03-23
    • 文件大小:890880
    • 提供者:ly334846035
  1. An Illumination Invariant Change Detection Algorithm

  2. 这篇文章采用同态滤波(Homomorphic filtering)对光照具有不变的特性来进行背景建模,实现运动目标的检测。
  3. 所属分类:其它

    • 发布日期:2013-08-08
    • 文件大小:326656
    • 提供者:kezunhai
  1. Optical System Design

  2. Chapter 1. Basic Optics and Optical System Specifications 1 The Purpose of an Imaging Optical System 1 How to Specify Your Optical System: Basic Parameters 4 Basic Definition of Terms 11 Useful First-Order Relationships 15 Chapter 2. Stops and Pupil
  3. 所属分类:专业指导

    • 发布日期:2015-02-09
    • 文件大小:9735956
    • 提供者:xhu_xuezw
  1. PHOS (Color Image Database for illumination invariant feature selection)

  2. 部分数据图库,在不同光照下的对比图都有,对于图像处理中检测光线对于图像检测的作用挺适用
  3. 所属分类:其它

    • 发布日期:2015-05-18
    • 文件大小:7340032
    • 提供者:yyw_lucky
  1. PHOS (Color Image Database )

  2. PHOS (Color Image Database for illumination invariant feature selection)另外一部分图像集,对图像处理作用挺大
  3. 所属分类:其它

    • 发布日期:2015-05-18
    • 文件大小:6291456
    • 提供者:yyw_lucky
  1. Automatic Panoramic Image Stitching using Invariant Features

  2. This paper concerns the problem of fully automated panoramic image stitching. Though the 1D problem (single axis of rotation) is well studied, 2D or multi-row stitching is more difficult. Previous approaches have used human input or restrictions on
  3. 所属分类:专业指导

    • 发布日期:2015-07-03
    • 文件大小:1048576
    • 提供者:little201405
  1. SIFT算法源码

  2. 自学SIFT算法后写的一个demo,适合初学者或者想深入了解这个算法的人。 SIFT,即尺度不变特征转换(Scale-invariant feature transform,SIFT),是用于图像处理领域的一种描述子。SIFT算法在一定程度上可解决: 1. 目标的旋转、缩放、平移(RST) 2. 图像仿射/投影变换(视点viewpoint) 3. 光照影响(illumination) 4. 目标遮挡(occlusion) 5. 杂物场景(clutter) 6. 噪声
  3. 所属分类:C++

    • 发布日期:2016-01-22
    • 文件大小:823296
    • 提供者:near498
  1. Automatic Panoramic Image Stitching using Invariant Features

  2. Automatic Panoramic Image Stitching using Invariant Features MATTHEW BROWN∗ AND DAVID G. LOWE Department of Computer Science, University of British Columbia, Vancouver, Canada mbrown@cs.ubc.ca lowe@cs.ubc.ca Received July 28, 2005; Accepted August 3
  3. 所属分类:专业指导

    • 发布日期:2016-04-23
    • 文件大小:1048576
    • 提供者:lingfengliujian
  1. 图像拼接英语资料.pdf

  2. Abstract This paper concern panoramic image stitching. Though the 1D problem (single axis of rotation) is well studied, 2D or multi-row stitching is more difficult. Previous approaches have used human input or restrictions on the image sequence in o
  3. 所属分类:制造

    • 发布日期:2018-01-02
    • 文件大小:3145728
    • 提供者:huxizhong2017
  1. 关于SIFT图像特征检测的1篇经电英文文章

  2. An object recognition system has been developed that uses a new class of local image features. The features are invariant to image scaling, translation, and rotation, and partially invariant to illumination changes and affine or 3D projection. These
  3. 所属分类:其它

    • 发布日期:2009-03-08
    • 文件大小:577536
    • 提供者:qqqqqqaaaa
  1. 计算机视觉

  2. CONTENTS I IMAGEFORMATION 1 1 RADIOMETRY — MEASURING LIGHT 3 1.1 Light in Space 3 1.1.1 Foreshortening 3 1.1.2 Solid Angle 4 1.1.3 Radiance 6 1.2 Light at Surfaces 8 1.2.1 Simplifying Assumptions 9 1.2.2 The Bidirectional Reflectance Distribution Fu
  3. 所属分类:其它

    • 发布日期:2018-07-20
    • 文件大小:52428800
    • 提供者:weixin_37835458
  1. A study on the effective approach to illumination-invariant face recognition based on a single image

  2. In this paper, the methods for single image-based face recognition under varying lighting are reviewed. Meanwhile, some representative methods as well as their combinations are evaluated by experiments, and the underlying principle of the experimenta
  3. 所属分类:其它

    • 发布日期:2021-02-10
    • 文件大小:401408
    • 提供者:weixin_38718307