vision Flashcards

1
Q

How to define the camera position

A

The camera position can be defined by a translation [Tx, Ty,Tz] and a rotation in the 3D space which is represented by 3*3 matrix

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
2
Q

How to define the reotation in the 3D space

A

it can be defined by 3 values, euler angles that can be represented by a 33 matrix, know that all the 3D rotations can be represented by a 33 matrix but not all the 3*3 matrices are 3D rotations

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
3
Q

what are the Euler angles

A

the describe 3angles that define the orientation of a rigid body

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
4
Q

what are the extrinsic parameters

A

correspond to the combination of the rotation and translation to define the camera

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
5
Q

what is the main idea behind a pinhole camera

A

project 3D points in the space to a 2D one, such that every 3D point is represented by 2 points of the sensor

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
6
Q

what is the difference between extrinsic and intrinsic parameters

A

extensive is more related to the camera position and intensity are more related to the project of the points in the space

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
7
Q

what is the focal length

A

it is the distance between the the lens and the sensor , we use it to represent the sensor points in term of space points

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
8
Q

how can we represent the world coordinates to pixel coordinates

A

one can use the mixture of intrinsic and extrinsic parameters

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
9
Q

explain the stereovision settings

A

The image is seen by two cameras, they are both on the same epipolar line, the distance between them is called the baseline and their optical view is parallel to each other

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
10
Q

why the angle of the eye change and is not parallel all the time

A

through constantly modifying the angles leads to obtain wider fields between the intersection of the cameras projection

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
11
Q

why we may need the stereovision

A

stereovision allows acquiring the geometry of the object

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
12
Q

what is the disparity

A

reflects the difference in the projection

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
13
Q

what is the relation between the distance and the dipary

A

The higher is the distance the higher is the disparity

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
14
Q

How the objects are detecion happen

A

the idea is that when both camera projections meet, that field is captured

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
15
Q

How the objects are detected happen

A

the idea is that when both camera projections meet, that field is captured

How well did you know this?
1
Not at all
2
3
4
5
Perfectly
16
Q

what is the relation between the disparity and the baseline

A

the lower is the baseline the lower is the disparity, the higher is the baseline the lower is the coverage and the higher is the accuracy

17
Q

why camera with fixed angles

A

a camera with fixed angles is less complex to deal

18
Q

how to build a disparity map

A

we need to perform point matching

19
Q

why increasing the baseline means increasing the accuracy

A

This is a matter of scale

20
Q

How to perform point matching

A

The idea is that we have a window that is horizontally moving throughout the acquired images, then the matching happens in the case of the part corresponding to the lowest SSD

21
Q

how to deal with the noise during point matching

A

this might be due to the size of the window hence increasing the noise might be a solution however this also leads to lose some of the details

22
Q

how to deal with the noise during point matching

A

this might be due to the size of the window hence increasing the noise might be a solution however this also leads to losing some of the details

23
Q

what is epipolar plane

A

it is a plane that joins the points of the space in the front of the camera and the two points of projection, this plane makes an intersection with the projection planes and outputs the epipolar lines

24
Q

what is the epipolar line for parallel camera

A

it is horizontal

25
Q

what are the intrinsic parameters

A

The Camera constant (C): describes the distance between the image plane and the projection centre.
x-y scale difference m
focal length f,

initially, the points of the space are projected to the sensor and are represented in terms of the focal loss, however, we may need to take into consideration the fact that :

  • camera’s pixels may not be squared hence, fx,fy
  • the optical center is not always 0 (cx,cy)
  • skewness: the camera sensor may have skew in the x,y
26
Q

why the higher is the baseline the higher is the accuracy

A

since a higher baselin we can capture more depth thus more accuracy

27
Q

what is the relation between epipolar line and depth

A

epipolar line allow us to measure the depth