Unit 2: Camera Geometry and 2-D Projective Geometry - Practice Quiz

INT345 — Computer Vision 60 Questions
0 Correct 0 Wrong 60 Left
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1 What is the simplest camera model that describes the geometric mapping from 3D space to a 2D image without using lenses?

pinhole cameras Easy
A. Pinhole camera
B. Stereo camera
C. Spherical camera
D. Orthographic camera

2 In the pinhole camera model, what is the distance between the pinhole (camera center) and the image plane called?

pinhole cameras Easy
A. Optical axis
B. Principal point
C. Aperture
D. Focal length

3 Why are lenses typically used in real cameras instead of simple pinholes?

cameras with lenses Easy
A. To gather more light while maintaining focus
B. To increase the focal length
C. To convert 3D coordinates to 1D
D. To completely eliminate all image distortions

4 What is a common optical distortion introduced by lenses where straight lines in the real world appear curved in the image?

cameras with lenses Easy
A. Chromatic aberration
B. Perspective distortion
C. Radial distortion
D. Motion blur

5 What does 'CCD' stand for in the context of digital cameras?

CCD cameras Easy
A. Camera Control Device
B. Central Computation Display
C. Charge-Coupled Device
D. Computer Centric Diode

6 In a CCD camera, the continuous image is sampled into a discrete grid of elements. What are these individual elements called?

CCD cameras Easy
A. Voxels
B. Points at infinity
C. Pixels
D. Homographies

7 A general projective camera maps 3D world points to 2D image points. What are the dimensions of the projection matrix used for this transformation?

general projective cameras Easy
A.
B.
C.
D.

8 Which assumption characterizes an affine camera model (such as an orthographic camera)?

affine cameras Easy
A. The focal length is zero
B. The camera has an infinite number of pinholes
C. The depth of the object is large compared to its size
D. The image plane is a sphere

9 What is the primary goal of camera calibration?

camera calibration Easy
A. To determine the camera's intrinsic and extrinsic parameters
B. To reduce the file size of an image
C. To increase the resolution of the image
D. To physically clean the camera lens

10 Which of the following is considered an INTRINSIC parameter of a camera?

camera calibration Easy
A. The camera's 3D rotation in the world
B. The principal point (optical center)
C. The lighting of the scene
D. The camera's 3D translation in the world

11 In 2-D planar geometry, what geometric entity is represented by the equation ?

planar geometry Easy
A. A point at infinity
B. A parabola
C. A circle
D. A line

12 What conceptual geometric elements are added to Euclidean space to form a projective space?

projective spaces Easy
A. Multiple origins
B. Points at infinity
C. Complex numbers
D. Negative coordinates

13 In a 2D projective space, where do two parallel lines intersect?

projective spaces Easy
A. At a point at infinity
B. At the principal point
C. They never intersect
D. At the origin

14 What are the homogeneous (projective) coordinates for a 2D Euclidean point ?

Representation in projective coordinates Easy
A.
B.
C.
D.

15 How do you convert the homogeneous point back to 2D Euclidean coordinates, assuming ?

Representation in projective coordinates Easy
A.
B.
C.
D.

16 What is a homography?

Homography and its properties Easy
A. A mapping that turns an image to grayscale
B. A linear transformation that maps lines to lines between two projective planes
C. A technique to remove noise from an image
D. A method to calculate focal length without calibration

17 What is the size of a homography matrix used for 2D projective transformations?

Homography and its properties Easy
A.
B.
C.
D.

18 Although a 2D homography matrix has 9 elements, how many degrees of freedom does it actually possess?

Homography and its properties Easy
A. 9
B. 6
C. 8
D. 3

19 Which geometric transformation is predominantly used to map and align overlapping images into a single panorama in image stitching?

Applications: image stitching Easy
A. Translation
B. Reflection
C. Homography
D. Scaling

20 What is the purpose of image rectification in computer vision?

Applications: perspective correction and rectification Easy
A. To convert an image from color to black and white
B. To geometrically transform an image to simulate a front-on view and remove perspective distortion
C. To compress the image size for web transfer
D. To add artistic blurring to the background

21 In a pinhole camera with focal length , a point in 3D space is projected onto the image plane at . If the object moves twice as far from the camera along the Z-axis, what happens to its projected image coordinates?

pinhole cameras Medium
A. They are halved
B. They double
C. They are quartered
D. They remain the same

22 If a pinhole camera's principal point is offset by from the origin of the image coordinates, how is the projection of a 3D point modified?

pinhole cameras Medium
A. ,
B. ,
C. ,
D. ,

23 How does decreasing the aperture size (increasing the f-number) affect a camera with a lens?

cameras with lenses Medium
A. It increases the depth of field but reduces the light reaching the sensor.
B. It decreases the depth of field and increases the light reaching the sensor.
C. It shifts the position of the principal point.
D. It changes the focal length of the lens.

24 In a CCD camera, if the sensor elements are not perfectly rectangular, which intrinsic parameter accounts for this geometric distortion?

CCD cameras Medium
A. Principal point offset
B. Radial distortion coefficient
C. Skew parameter
D. Focal length

25 A general finite projective camera is represented by a matrix . How many degrees of freedom does this matrix have?

general projective cameras Medium
A. 9
B. 15
C. 12
D. 11

26 The camera center (in homogeneous coordinates) of a general projective camera matrix can be found by solving which of the following equations?

general projective cameras Medium
A.
B.
C.
D.

27 Which of the following is a defining characteristic of an affine camera model compared to a general projective camera?

affine cameras Medium
A. The camera matrix has 11 degrees of freedom.
B. Lines are not preserved during projection.
C. It accounts for strong perspective foreshortening.
D. The principal plane is situated at infinity.

28 An orthographic projection is a special case of an affine camera. What happens to the apparent size of an object as its depth (distance from the camera) increases in this model?

affine cameras Medium
A. Its apparent size decreases exponentially.
B. Its apparent size increases.
C. Its apparent size remains constant.
D. Its apparent size decreases linearly.

29 When using the Direct Linear Transformation (DLT) algorithm for camera calibration, what is the minimum number of known 3D-2D point correspondences required to uniquely solve for the general projective camera matrix?

camera calibration Medium
A. 6
B. 4
C. 5
D. 8

30 Which of the following scene features is primarily used to estimate and correct radial distortion in a camera?

camera calibration Medium
A. The color distribution of the image
B. The scale of objects at known depths
C. Straight lines in the scene
D. The illumination intensity across the image

31 In 2D planar geometry, a line is defined by . In homogeneous coordinates, what is the intersection point of two distinct, non-parallel lines and ?

planar geometry Medium
A.
B.
C.
D.

32 What does the homogeneous coordinate represent in 2D planar geometry?

planar geometry Medium
A. The origin of the Euclidean plane.
B. A point at infinity (an ideal point).
C. A point on the x-axis.
D. A line at infinity.

33 If a 3D Euclidean point is mapped into a projective space, what is the dimension of the resulting projective space , and how many coordinates are used to represent the point?

projective spaces Medium
A. using 4 coordinates
B. using 3 coordinates
C. using 3 coordinates
D. using 4 coordinates

34 Given a 3D point in homogeneous coordinates , what is its equivalent representation in standard 3D Euclidean coordinates?

Representation in projective coordinates Medium
A.
B.
C.
D.

35 In 2D projective coordinates, what is the mathematical formulation for the line passing through two points and ?

Representation in projective coordinates Medium
A.
B.
C.
D.

36 A 2D homography is a projective transformation mapping points from one plane to another. How many degrees of freedom does a general 2D homography matrix have?

Homography and its properties Medium
A. 4
B. 9
C. 8
D. 6

37 Which geometric property is strictly preserved under a general homography (projective) transformation?

Homography and its properties Medium
A. Parallelism of lines
B. Ratios of distances
C. Collinearity of points
D. Angles between lines

38 Under which specific condition can a 2D homography perfectly relate two overlapping images of a general, non-planar 3D scene taken by a camera?

Applications: image stitching Medium
A. The camera has a very wide field of view.
B. The camera moves freely but the scene contains high depth variation.
C. The camera undergoes pure rotation around its optical center.
D. The camera undergoes a pure translation.

39 In perspective correction, to remove projective distortion and map an image back to an affine frame, where must the image of the line at infinity be mapped?

Applications: perspective correction and rectification Medium
A. To the origin
B. To its canonical position
C. To the principal point
D. To the x-axis

40 How can vanishing points be practically used to rectify a perspective image of a building facade?

Applications: perspective correction and rectification Medium
A. By translating the image such that the vanishing points are moved to the principal point.
B. By rotating the image until the vanishing points align with the x and y axes.
C. By mapping the vanishing points to the center of the camera matrix.
D. By calculating the cross product of two vanishing points to find the image of the line at infinity, then transforming it to .

41 A projective camera matrix is given by , where is a non-singular matrix and is a 3-vector. What is the geometrical interpretation of the 1D right null-space of ?

pinhole cameras Hard
A. It represents the 3D coordinates of the camera center in homogeneous coordinates.
B. It represents the principal point on the image plane in homogeneous coordinates.
C. It corresponds to the image of the absolute conic on the focal plane.
D. It defines the direction of the optical axis in the world coordinate system.

42 Suppose a pinhole camera is modified such that the pinhole is shifted by a vector parallel to the image plane, while the image plane itself remains fixed. How does the new camera calibration matrix relate to the original matrix ?

pinhole cameras Hard
A. The principal point is shifted to , altering the third column of .
B. The focal lengths are scaled by , altering the diagonal of .
C. The principal point is shifted to , altering the third column of .
D. The skew parameter becomes non-zero, proportional to .

43 In the presence of radial distortion modeled by , straight lines in the 3D world that do not pass through the optical axis project to curves. If a camera exhibits severe barrel distortion (), what happens to the curvature of the projected line as its shortest distance from the principal point increases?

cameras with lenses Hard
A. The projected curve bows outwards away from the principal point, and its maximum curvature increases.
B. The projected curve remains a straight line but experiences non-uniform scaling.
C. The projected curve bows inwards towards the principal point, and its maximum curvature increases.
D. The projected curve bows outwards away from the principal point, and its maximum curvature decreases.

44 For a CCD camera, the skew parameter in the intrinsic matrix is non-zero. If the angle between the and pixel axes on the sensor array is , what is the exact expression for ?

CCD cameras Hard
A.
B.
C.
D.

45 Let be a projection matrix of a general projective camera. To determine the intrinsic parameters and rotation , we decompose the left submatrix . Which decomposition is strictly required, and what constraint must be enforced on ?

general projective cameras Hard
A. RQ decomposition; must be upper triangular with strictly positive diagonal elements.
B. Singular Value Decomposition (SVD); the singular values forming must be sorted in descending order.
C. Cholesky decomposition; must be a symmetric positive-definite matrix.
D. QR decomposition; must be an orthogonal matrix with determinant .

46 Given two distinct pixels and on the image plane of a calibrated camera with intrinsic matrix , the angle between their corresponding back-projected 3D rays is given by . What does the matrix represent?

general projective cameras Hard
A. The Fundamental matrix, mapping points to epipolar lines.
B. The Essential matrix, capturing relative rotation and translation.
C. The dual Absolute Quadric, given by .
D. The Image of the Absolute Conic (IAC), given by .

47 Consider an affine camera matrix . Which of the following mathematical properties strictly differentiates an affine camera from a general projective camera regarding the camera center?

affine cameras Hard
A. The right null-space of is a 4-vector of the form , meaning the camera center lies on the plane at infinity.
B. The left submatrix of is exactly the identity matrix, restricting the camera to parallel projection.
C. The camera center resides at the world origin , forcing the translation vector to be zero.
D. The rank of is strictly 2, preventing depth recovery from any single image.

48 A generic affine camera maps 3D points to 2D image points using a matrix. How many degrees of freedom does a general affine camera matrix have?

affine cameras Hard
A. 15 degrees of freedom
B. 12 degrees of freedom
C. 8 degrees of freedom
D. 11 degrees of freedom

49 When calibrating a camera using the Direct Linear Transformation (DLT) algorithm, we stack point correspondence equations to form . If all 3D calibration points happen to lie on a single 3D plane, what is the rank of the matrix (assuming noise-free correspondences), and what consequence does this have?

camera calibration Hard
A. Rank 8; the null space is 4-dimensional, making the full camera matrix unrecoverable without additional non-coplanar points.
B. Rank 10; the camera center is constrained to a line, allowing only a 1-parameter family of solutions for .
C. Rank 11; the camera matrix is uniquely recoverable up to scale because planar points impose stricter homographic constraints.
D. Rank 9; the focal length and principal point cannot be distinguished, leading to ambiguity in the intrinsic matrix .

50 In Zhang's camera calibration method, each image of a planar checkerboard pattern provides constraints on the Image of the Absolute Conic (IAC) denoted by . If and are the first two columns of the homography mapping the pattern to the image, which of the following equations correctly expresses the orthogonal constraints of the checkerboard axes?

camera calibration Hard
A. and
B. and
C. and
D. and

51 Four distinct collinear points have a cross-ratio . If a projective transformation permutes these points such that their new cross ratio is equal to , which permutation of the points occurred?

planar geometry Hard
A. Swapping and , while keeping and fixed.
B. Swapping and , or swapping and .
C. A cyclic permutation of all four points .
D. Swapping and , while keeping and fixed.

52 A non-degenerate conic is transformed under a 2D projective transformation represented by an invertible matrix . If a point maps to , how does the dual conic , which represents the envelope of tangent lines to , transform?

planar geometry Hard
A.
B.
C.
D.

53 In , the line at infinity is . What is the geometric locus of points defined by the intersection of an arbitrary circle with in this projective space?

projective spaces Hard
A. The circular points (ideal points) and .
B. A set of continuously varying points on depending on the circle's radius.
C. The real points and , representing orthogonal directions.
D. The origin of the affine plane .

54 Consider a 3D projective space . Which of the following best describes the properties of the Absolute Dual Quadric ?

projective spaces Hard
A. It is a rank 3 quadric envelope, consisting of planes tangent to the absolute conic, and it is invariant strictly under 3D similarity transformations.
B. It is a rank 4 quadric, invariant to all projective transformations, consisting of the locus of all camera centers.
C. It is a rank 3 point quadric that defines the absolute conic and is invariant under affine transformations.
D. It is a rank 2 quadric, uniquely defining the plane at infinity, and is invariant only under Euclidean transformations.

55 Two parallel lines on the Euclidean plane are given by and . When represented in homogeneous coordinates in , what is the exact homogeneous coordinate of their intersection point?

Representation in projective coordinates Hard
A.
B.
C.
D.

56 In , a line can be represented by a Plücker matrix , which is a skew-symmetric matrix. If two 3D points in homogeneous coordinates are and , how is constructed from and , and what is its rank?

Representation in projective coordinates Hard
A. (generalized cross product), and it has rank 3.
B. , and it has rank 2.
C. , and it has rank 2.
D. , and it has rank 4.

57 Suppose a camera captures a planar scene , meaning points on the plane satisfy . If the camera moves by a rotation and translation , with an intrinsic matrix , the transformation between the old image coordinates and new image coordinates is given by a homography . What is the closed-form expression for ?

Homography and its properties Hard
A.
B.
C.
D.

58 A projective homography matrix is estimated between two images taken by the same camera undergoing purely rotational motion around its camera center. Let the rotation angle be . If the intrinsic matrix is known, what are the eigenvalues of the conjugate matrix up to a common non-zero scale factor?

Homography and its properties Hard
A. , ,
B. , ,
C. , ,
D. , ,

59 When performing image stitching on a sequence of overlapping images taken by a freely translating and rotating camera, a single 2D projective homography generally fails to perfectly align an image pair. However, perfect alignment via homography is theoretically guaranteed regardless of scene depth variations under which specific condition?

Applications: image stitching Hard
A. The scene is strictly constrained to an affine space.
B. The baseline between the two views is exactly orthogonal to the optical axis.
C. The intrinsic matrix of the camera remains strictly constant.
D. The camera optical centers for both views are perfectly coincident.

60 In stereo vision, image rectification applies 2D projective homographies and to a pair of images to make corresponding epipolar lines collinear and horizontal. If is the epipole in the first unrectified image, what is the strict algebraic constraint on to achieve standard horizontal epipolar lines?

Applications: perspective correction and rectification Hard
A.
B.
C.
D.