da5006_2024T1_Q1_NA.pdf

Deep Learning for Computer Vision · Quiz 1 · Jan 2024

Questions and published explanations below are available without starting a test. Some questions may not have a published solution yet.

Question 159 MCQ · 2.0 marks

[[IMAGE:a63a2ec216e8e123_2_0]]

1→ ii, 2→ ii, 3 → iv, 4→ i
1→ ii, 2→iv, 3 → i, 4→ iii
1→ ii, 2→ ii, 3 → iv, 4→ iii
1→ ii, 2→ iv, 3 → v, 4→ iii

A published solution is not available for this question yet.

Question 160 MCQ · 2.0 marks

Which of the following statements is True

Gaussian filter is Separable filter because it is non linear.
Median filter is a non separable filter
Gaussian filter is a High Pass filter.
Mean filter is a non separable filter because it is non linear

A published solution is not available for this question yet.

Question 161 MCQ · 2.0 marks

Which of the following statements is false regarding SIFT and SURF?

SIFT and SURF are two most useful approaches to detect and match features because they are invariant to scale, rotation, translation, illumination, and blur
SURF is better than SIFT in rotation invariance, blur and warp transform
SURF is 3 times faster than SIFT because of its use of integral image and box filter
descriptors with dimensions lower than 128 perform pretty well across a range of matching tasks

A published solution is not available for this question yet.

Question 162 MCQ · 2.0 marks

Identify the correct sequence of steps in a Canny edge detection pipeline. Steps listed below: 1. Compute gradient magnitude and direction 2. Connect individual components 3. Smoothen the image 4. Non-maximum suppression along the edge 5. Threshold into strong, weak or no edge 6. Non-maximum suppression perpendicular to the edge

3→ 1→ 4→ 5 → 2
3→ 5→ 1→ 4 → 2
3→ 1→ 6→ 5 → 2
3→ 1→ 5→ 6 → 2

A published solution is not available for this question yet.

Question 163 MCQ · 2.0 marks

[[IMAGE:a63a2ec216e8e123_5_1]]

1→iii, 2 → iv, 3→ i,4→ v
1→ii, 2→i, 3→iv,4→iii
1→iii, 2→i, 3→iv,4→ii
1→iv, 2→i, 3→iii,4→ii

A published solution is not available for this question yet.

Question 164 MCQ · 2.0 marks

In RANSAC, what is the probability that the algorithm never selects a whole set of inliers from 20 data points (which has 5 inliers in total) for k = 2 time steps? Here, n = 2 is the minimum number of samples to fit a model.

0.2
0.93
0.87
0

A published solution is not available for this question yet.

Question 165 MCQ · 2.0 marks

Suppose we have a codebook of 2048 SIFT visual words. We extract 1000 SIFT descriptors (SIFT is a 128-dimensional feature) from a new image. What is the dimensionality of the BoW (Bag-of-Words) descriptor?

1000
128
128 × 2048
2048

A published solution is not available for this question yet.

Question 166 MCQ · 2.0 marks

[[IMAGE:a63a2ec216e8e123_6_2]]

1→ iii, 2→ ii, 3 → iv, 4→ i
1→ v, 2→i, 3 → iv, 4→ iii
1→ iii, 2→ i, 3 → ii, 4 →v
1→ ii, 2→ v, 3 → iv, 4→ iii

A published solution is not available for this question yet.

Question 167 MSQ · 2.0 marks

Which of the following linear filters will leave the central value of the given matrix unchanged. [[IMAGE:a63a2ec216e8e123_7_3]]

[[IMAGE:a63a2ec216e8e123_7_4]]
[[IMAGE:a63a2ec216e8e123_7_5]]
[[IMAGE:a63a2ec216e8e123_7_6]]
[[IMAGE:a63a2ec216e8e123_7_7]]

A published solution is not available for this question yet.

Question 168 MSQ · 2.0 marks

Which of the following statements are True?

LoG Filter is not appropriate to be used for blob detection.
Image patches with large contrast changes (gradients) are easier to localize.
Gradients in at least two (significantly) different orientations are the hardest (e.g., corners) to detect.
In case of ‘Hysteresis Thresholding’, if gradient at a pixel is greater than high threshold that means it is an edge pixel.

A published solution is not available for this question yet.

Question 169 NAT · 2.0 marks

[[IMAGE:a63a2ec216e8e123_8_8]]

A published solution is not available for this question yet.

Question 170 NAT · 2.0 marks

[[IMAGE:a63a2ec216e8e123_9_9]]

A published solution is not available for this question yet.

Question 171 NAT · 2.0 marks

[[IMAGE:a63a2ec216e8e123_10_10]]

A published solution is not available for this question yet.

Question 172 NAT · 2.0 marks

[[IMAGE:a63a2ec216e8e123_10_11]]

A published solution is not available for this question yet.

Question 173 NAT · 2.0 marks

[[IMAGE:a63a2ec216e8e123_11_12]]

A published solution is not available for this question yet.

Question 174 SHORT_TEXT · 1.0 marks

In case of template matching by using correlation, even if template is not identical to some subimage in the scene, match can be meaningful, if (a) _____________ , (b) _____________ and general appearance is right. Based on the above data, answer the given subquestions.

Enter the correct answer for Blank (a) ______________ .

A published solution is not available for this question yet.

Question 175 SHORT_TEXT · 1.0 marks

Enter the correct answer for Blank (b) ______________ .

A published solution is not available for this question yet.

Question 176 NAT · 0.5 marks

[[IMAGE:a63a2ec216e8e123_13_13]] Based on the above data, answer the given subquestions.

a11 = ____________

A published solution is not available for this question yet.

Question 177 NAT · 0.5 marks

[[IMAGE:a63a2ec216e8e123_13_13]] Based on the above data, answer the given subquestions.

a12 = ____________

A published solution is not available for this question yet.

Question 178 NAT · 0.5 marks

[[IMAGE:a63a2ec216e8e123_13_13]] Based on the above data, answer the given subquestions.

a21 = ____________

A published solution is not available for this question yet.

Question 179 NAT · 0.5 marks

[[IMAGE:a63a2ec216e8e123_13_13]] Based on the above data, answer the given subquestions.

a22 = ____________

A published solution is not available for this question yet.

Question 180 NAT · 1.0 marks

The degrees of freedom for translation and affine transformations are (a) __________ and (b) ___________ respectively. Based on the above data, answer the given subquestions.

Enter the correct answer for blank (a) __________.

A published solution is not available for this question yet.

Question 181 NAT · 1.0 marks

The degrees of freedom for translation and affine transformations are (a) __________ and (b) ___________ respectively. Based on the above data, answer the given subquestions.

Enter the correct answer for blank (b) __________.

A published solution is not available for this question yet.