affine

/*If you give two pictures, there are similarities in the middle. Required to make a match. What to do. Can I tell you now? For example, give two pictures, first find out the sift point. Scale space extremum detection. The key point orientation of

Clairvoyant-Linear algebra-matrix theoryBook recommendations:Linear algebra: Domestic I think Li Shangzhi's linear algebra and blue to the high-generation concise tutorial is very good, the concept of explanation is very easy to understand, the

Optical flow is a description of the motion information of image brightness. The optical flow method is initially proposed by Horn and Schunck in the 1981 , and the two-dimensional velocity field is creatively connected with the gray scale , which

Quartz is a drawing layer on top of the Darwin core of Mac OS X and is sometimes considered coregraphics. There are two parts composed of quartz:Quartz compositor, Synthetic windowing system, manages and synthesizes behind-the-scenes window images

introduction–a Tour of multiple View Geometry This chapter is an introduction to the main ideas and the informal treatment of these topics. Precise, unambiguous definitions, rigorous algebra, and descriptions of fine-grained estimation algorithms

Video Andrej Karpathy in class, said the homework meaty but educational, is really meaty, the job is generally composed of. ipynb files and. py files, this time because each. ipynb file involves more than. py files, and cross each other, so each

CoreGraphics.hCgaffinetransform rotation = cgaffinetransformmakerotation (m_pi_2);? [xxx settransform:rotation];? Oh just so simple two lines of code can be realized!By the way to record some constants, later use!#define M_e         2.718281828459045

CoreGraphics.hCgaffinetransform rotation = cgaffinetransformmakerotation (m_pi_2);? [xxx settransform:rotation];? Oh just so simple two lines of code can be realized!By the way to record some constants, later use!#define M_e         2.718281828459045

CoreGraphics.hCgaffinetransform rotation = cgaffinetransformmakerotation (m_pi_2);? [XXX settransform:rotation];Record some constants and use them later!#define M_e         2.71828182845904523536028747135266250    e? #define m_log2e     1.44269504088

Reference:Spatial Transformer Networks [Google.deepmind]Reference:[theano source, based on lasagne] chatter: Big data is not as small as dataThis is a very new paper (2015.6), three Cambridge PhD researcher from DeepMind, a Google-based new AI

Editor's note: If you want to machine learning, linear algebra must first, as for why, look at this article, certainly will be inspired. At the same time, the site recommends MIT Strang's linear Algebra Open class:

[To] http://www.cnblogs.com/bobyguo/articles/1263355.html In general, the square matrix can describe any linear transformation. Linear transformation retains the straight lines and parallel lines, but the origin is not moved. While linear

Conversion combination Imagine an object in any direction and position in the world. We want to render it to a camera in any direction and position. To achieve this, all vertices of an object must be transformed from the object coordinate system to

Stretching, shrinkage, distortion, and rotation are geometric transformations of images. These transformations are widely applied in 3D vision technology, and include affine transformation and perspective transformation. Generally, a

---restore content starts---This article forwards to: http://www.xuebuyuan.com/1846606.htmlWhen writing the program, it is found that the coordinates, the location of iOS is easy to mess up, especially in different coordinate systems, must be done

The nature of linear algebraWen/FengThe linear algebra course, whether you start from the determinant or directly from the matrix, is riddled with inexplicable beginnings.For example, in the national General Engineering Department of teaching the

The linear algebra course, whether you start from the determinant or directly from the matrix, is riddled with inexplicable beginnings. For example, in the national General Engineering Department of teaching the most widely used in Tongji linear

First, IntroductionImage normalization is a kind of technology widely used in computer vision, pattern recognition and other fields. The so-called image normalization, is through a series of transformations, the raw image to be processed into the

Matrix Revolution-Understanding matricesThe linear algebra course, whether you start from the determinant or directly from the matrix, is riddled with inexplicable beginnings. For example, in the national General Engineering Department of teaching

The linear algebra course, whether you start from the determinant or directly from the matrix, is riddled with inexplicable beginnings. For example, in the national General Engineering Department of teaching the most widely used in Tongji linear