CPV 301 Final Exam | Q & A (Complete Solutions) The input of computer vision is an image. So what is the output of computer vision? A. The output is the interpretation of an image. B. The output is a processed image. C. The output is the image that has been recovered with the parts that have been...
The input of computer vision is an image. So what is the output of computer vision?
A. The output is the interpretation of an image.
B. The output is a processed image.
C. The output is the image that has been recovered with the parts that have been noisy-
D. All of the others
What system does the digital camera use to perform the digitization of images?
A. Number system.
B. Logic system
C. Sensor system
D. Optical system
In K-means for Segmentation, what is the meaning of K value?
A. It represents the number of clusters.
B. It represents the number of images.
C. It represents the step of clusters.
D. It represents the color groups.
Lambert's cosine law is used to calculate the intensity of diffuse reflection. What
parameter is important in Lambert's cosine law?
A. The intensity of the light emitted by the light source.
B. The angle between the incident light direction and the surface.
C. The type of matter that makes up the surface of matter, affecting absorption or
reflection.
D. The calculated spatial coordinates may change as you convert between spatial
domains.
,What is the main approach of feature-based alignment?
A. Align the 4 corners of two photos
B. Finding a way to recover an image's angle through spatial transformations
C. Overlap the pictures together and find similarities between them
D. Find a few matching features in both images then compute alignment
The..... is a measure of change in a function, and an image can be considered to be an
array of samples of some continuous function of image intensity- Choose the best
answer.
A. Gradient
B. Edge
C. Grayscale
D. Contour
Choose the best description of the Prewitt operator for edge detection
A. It detects the overlap edges of an image.
B. It is one of the best ways to detect the color intensity and magnitude of an image
C. It is a good performance on detecting vertical and horizontal edges
D. It is never a good choice to detect the orientation of an image
Choose the best description about bundle adjustment in image stitching
A. Bundle adjustment is still needed to obtain a globally coherent mosaic.
B. The goal of Bundle adjustment is then to find a globally consistent set of alignment
parameters that minimize the mis-registration between all pairs of images.
C. Bundle adjustment is the process of simultaneously adjusting pose parameters for a
large collection of overlap- ping images.
D. Bundle adjustment refers to the problem of finding the image registration parameters
that best comply with the constraints introduced by the image matching.
,The aim is to identify the facial landmarks that are key to distinguishing your face. What
is the exact name of this step in face recognition? Choose the best correct answer
A. Face detection
B. Face locating
C. Features analysis
D. Face analysis
Choose the best correct answer about parallax removal
A. Parallax is a key challenge that leads to inaccurate registration and ghosting effect of
objects in the result. So it needs to remove.
B. It is used to optimize the camera poses. Once these have been estimated, the
desired location of a 30 point xi can be estimated as the average of the back-projected
3D locations.
C. It is a displacement or difference in the apparent position of an object viewed along
two different lines of sight, and is measured by the angle or semi-angle of inclination
between those two lines.
D. All of the others
We have source image f(x) and transformation formula x'= h(x). We can compute the
values of the pixels in the new image g(x) by using MIP-mapping. Choose the best
description about MlP-mapping
A. A MlP-map is a standard image pyramid where each level is pre-filtered with a high-
quality filter rather than a poorer quality approximation.
B. A MlP-map are pre-calculated, optimized sequences of images, each of which is a
progressively lower resolution representation of the previous.
C. All of the others
D. None of the others
....is a technique of image processing used to identify points in a digital image with
discontinuities ~ sharp changes in the image brightness. Choose the best answer
A. Peak detector
B. Peak descriptor
, C. Edge detection.
D. Edge descriptor
Choose the best description of the Gaussian Mixture Model for segmentation
A. It assumes that there are a certain number of Gaussian distributions, and each of
these distributions represents a cluster.
B. It tends to divide the data points belonging to a single distribution together.
C. It is used to identify different classes or clusters in the given data based on how
similar the data is.
D. All of the others
What are languages supported by Computer vision?
A. C/ C++
B. Java
C. Python
D. All of the others
It is a type of segmentation technique that can be defined as the use of energy forces
and constraints for the segregation of the pixels of interest from the image. What is the
exact name of this process?
A. Active contour
B. Contour detection
C. Multi-pass filter
D. Boundary detection
What happens in the thin lens model?
A. The object is inverted.
B. The image is discolored.
C. Objects placed before or after Len produce the same results-
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