CSE383 Computer Vision Lecture 12
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Questions and Answers

What are the two main types of image transformations?

Filtering and Warping

What is the definition of a scalar in geometry?

An object with no geometric properties

What are the two attributes of a vector?

Direction and Magnitude

How is the sum of two vectors calculated?

<p>By adding corresponding components using the head-to-tail axiom</p> Signup and view all the answers

What is the definition of the cross product of two vectors?

<p>A vector perpendicular to both vectors, with a magnitude equal to the area of the parallelogram spanned by the two vectors</p> Signup and view all the answers

What is the formula for the magnitude of the cross product of two vectors?

<p>Ia x bI = IaI IbI sin(θ)</p> Signup and view all the answers

What is the purpose of the 3D viewing pipeline?

<p>To transform 3D objects into 2D images</p> Signup and view all the answers

What is the role of the camera matrix in computer vision?

<p>To project 3D points onto a 2D image</p> Signup and view all the answers

What is the formula to find the cross product of two vectors a and b, where a = a1i + a2j + a3k and b = b1i + b2j + b3k?

<p>(a2b3 - a3b2)i + (a3b1 - a1b3)j + (a1b2 - a2b1)k</p> Signup and view all the answers

In the cross product matrix formula, what is the determinant of the matrix representing the cross product of two vectors a and b?

<p>la1 a2 a3/b1 b2 b3, where a = a1i + a2j + a3k and b = b1i + b2j + b3k</p> Signup and view all the answers

What is the formula for the dot product of two vectors a and b, where a = a1i + b1j + c1k and b = a2i + b2j + c2k?

<p>a1a2 + b1b2 + c1c2</p> Signup and view all the answers

What is an affine space in mathematics?

<p>A set of points equipped with a set of transformations (bijective mappings), or translations, which form a vector space</p> Signup and view all the answers

If a = 4i + 3j + 7k and b = 2i + 5j + 4k, what is the value of a x b?

<p>-23i - 2j + 14k</p> Signup and view all the answers

What is the geometric interpretation of the cross product of two vectors?

<p>The area of the parallelogram formed by the two vectors, with direction perpendicular to the plane of the parallelogram</p> Signup and view all the answers

If a = a1i + a2j + a3k and b = b1i + b2j + b3k, what is the formula for a x b in matrix form?

<p>la1 a2 a3/b1 b2 b3, where a x b = (a2b3 - a3b2)i - (a3b1 - a1b3)j + (a1b2 - a2b1)k</p> Signup and view all the answers

What is the significance of the unit vectors i, j, and k in vector operations?

<p>They are used to represent the x, y, and z axes in Cartesian coordinates, respectively</p> Signup and view all the answers

Study Notes

Geometric Transformations & Projective Geometry

Image Transformations

  • Filtering: changes the range of the image function
  • Warping: changes the domain of the image function

Basic Elements in Geometry

  • Point: a location in space
  • Scalar: an object with no geometric properties
  • Vector: a quantity with two attributes, direction and magnitude
  • Coordinate Reference Frames: 3D frames of reference

Vector Operations

  • Vector addition: the sum of two vectors is a vector, calculated by adding corresponding components using the head-to-tail axiom
  • Vector multiplication: the cross product of two vectors, a x b, is defined as a vector c, its direction is perpendicular to both a and b, and its magnitude is equal to the area of the parallelogram that the vectors span
  • Magnitude of the cross product: |a x b| = |a| |b| sin θ
  • Cross product formula: a x b = (a2b3 - a3b2)i + (a3b1 - a1b3)j + (a1b2 - a2b1)k
  • Cross product matrix: a x b =(det | a1 a2 a3 | b1 b2 b3 |)

Dot Product

  • a.b = |a| |b| cos θ
  • Dot product formula: a.b = a1a2 + b1b2 + c1c2

Affine Spaces

  • An affine space is a "flat" space without a fixed origin and without the notion of vectors starting at a particular point
  • It is a set of points equipped with a set of transformations (bijective mappings), or translations, which form a vector space

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Description

This quiz covers geometric transformations and projective geometry in computer vision, including image transformations, affine spaces, and 3D viewing pipeline. Based on Richard Szeliski textbook.

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