affine

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--sift algorithm of image similarity algorithm

A detailed explanation of scaling invariant feature transformation matching algorithmScale invariant Feature Transform (SIFT)Just for Fun zdd zddmail@gmail.com or (zddhub@gmail.com) For beginners, from David G.lowe's thesis to the realization,

Pytorch | Using batch normalization to normalize/instance normalize of variable

God, chatter. I have found that the newer Pytorch have instance normalization.You don't have to toss yourself.-2017.5.25 Use NN. The subclass _batchnorm (defined in torch.nn.modules.batchnorm) in Module can achieve normalize of various

Understanding matrix (2)

  Then we understand the matrix. In the previous article, "the matrix is the description of motion." So far, it seems that everyone has no opinions yet. But I believe that sooner or later there will be a netizen from the mathematics department.

Google Earth Image Overlay geo-referencing algorithm

In Google Earth, a picture can be added as a "overlay" (menu: Add-and-image overlay), by panning, rotating, stretching, and so on, so that the geographic features on the picture coincide with the satellite images in Google Earth. This process is

Common functions in OpenCV

1. Cvloadimage: Load the image file into memory;2, Cvnamedwindow: Create a window on the screen;3, Cvshowimage: Display the image in a window that has been created;4, Cvwaitkey: The program pauses, waiting for the user to trigger a key operation;5,

Basic Concepts in convex optimization (1)

1.1 What is a convex set?In simple terms, a convex set is a point set, which has a property of taking different two points x and y in this set, and the points on the line between them (including the endpoints) belong to this point set, then it is

The mathematical basis of visual slam the second chapter four Yuan

The mathematical foundation of visual slam the second four-dollar what is four-dollar numberCompared to Euler's angle, the four-tuple (quaternion) is a compact, easy-to-iterate representation that does not present singular values. It is widely used

[C # Reference] Matrix class

To get from getting started to mastering a language, the best learning documents are official documents, such as OpenCV's learning, the most authoritative learning materials or their official learning documents, the best learning Primer for C # and.

Cocos2dx coordinate system introduction, cocos2dx Coordinate System

Cocos2dx coordinate system introduction, cocos2dx Coordinate SystemGL Coordinate System Cocos2D uses OpenglES as the graphics library, so it uses the OpenglES coordinate system. The GL coordinate system origin is in the lower left corner of the

Sift algorithm detailed

http://blog.csdn.net/zddblog/article/details/7521424Directory (?) [-] Scaling invariant feature transform matching algorithm scale invariant Feature transformsift Just Zdd zddmailgmailcom or zddhubgmailcom Sift Overview

Spatial transformer Networks This essay

Roughly looked at this paper, very novel. My point of view: in traditional convolutional neural netwoks, we usually depend in extracting features. This paper combines hand-crafted and feature extraction to handle invariance of various inputs.

Sift algorithm detailed

A detailed analysis of the matching algorithm of scale invariant feature transformScale invariant Feature Transform (SIFT)Just for FunZdd[email protected]or ([email protected])For starters, from David G.lowe's thesis to implementation, there are

Several common problems in GDI + (9)

Today we talk about what was left over last week: ColorMatrix. 9. Color Matrix What is the nature of the image? It's a different thing for different people. In the computer world, everything is data, and image is a kind of data. From natural light

Preliminary analysis of the use of AffineTransform classes in Java _java

The AffineTransform class describes the function of a two-dimensional affine transformation, it is a linear transformation between two-dimensional coordinates to two-dimensional coordinates, maintaining the "straightness" of two-dimensional graphs

TLD Target Tracking Algorithm learning (c) Code understanding

Transferred from: http://blog.csdn.net/zouxy09/article/details/7893026 From the main () function, analyze the entire TLD operation as follows:8 stages(This is just an analysis of the work process, all the annotated Code see blog update)1, the

STN_OCR recognition of spatial transform networks

From the paper spatial Transformer Networks Insight: The effect of STN is similar to that of traditional correction. For example, face recognition, you need to first detect the detection of the key point detection, and then use the key points to

Image processing (19) Image deformation-siggraph 2006_ image processing based on moving least squares

First, the background significance Writing this blog should be so far I have seen many areas of the classic paper algorithm involves moving least squares (MLS). See this algorithm is very important, first look at its related classic applications: 1,

Image Geometry Transformation

Computer vision is to make the computer understand the image and video, the purpose of this series of blog is to deepen their learning computer vision in the process of understanding and review of relevant knowledge. Many of the contents refer to:

PYTHON-OPENCV (6)

Next, this time write two topics: Color space conversion in OPENCV Geometric transformations in the OpenCV Color space conversion in OPENCVThere are many kinds of color space, commonly rgb,cmy,hsv,hsi and so on. The

An ill-posed problem of partial differential equation of turn image

As a preprocessing method, image processing is almost a prelude to all image processing methods. In many cases, image filtering as a preprocessing method of image recognition, it needs to satisfy two restrictive conditions: the contrast is

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