CPV 301 Final Exam | Q & A (Complete Solutions)

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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 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- D. The image will stay the same size when you use white light as the source (sun). The most obvious application is used in scanning large documents - beyond the size of the scanner. What is the best solution? A. Use transformations to shrink documents before scanning B. Scan part of the image then uses interpolation methods- C. Use the technique to find important features in the document, then perform a scan and use extrapolation to find the missing parts. D. Use multiple scanners, scan parts of the document, and then stitching them together. It is the task of taking an initial set of object detections, creating a unique ID for each of the initial detections, and then tracking each of the objects as they move around frames in a video, maintaining the ID assignment. What is the exact name of this process? Choose the best correct answer A. Object detection B. Object locating C. Object tracking D. Object recognition A convolution-based technique is used to detect the line. Here are the four convolution masks to detect horizontal, vertical, oblique +- amount lines in an image. What is the specific value of the oblique in degrees? A. 15 B. 45 C. 90 D. 180 What do the components of a pixel include? A. Intensity value and size of the image B. Position address and intensity value C. Position address and size of the image D. All of the others What is the use of the geometric transformations in real life? A. Align multiple images that were clicked at different times. B. Correct images for avoiding lens distortion. C. Images according to camera orientation- D. All of the others Choose the best description of the edge-based segmentation A. Edge-based segmentation algorithms work to detect objects in an image. B. it bases on various continuities in grey level, colour, texture, brightness, saturation, contrast etc. C. These operators aid in detecting the edge discontinuities and hence mark the edge boundaries. D. it is a type of image segmentation, where we change the pixels of an image to make the image easier to analyze. Why use the image feature for processing, rather than using the whole image A. In the photo, we are only interested in the color, as well as the size of the photo. B. Use features to be able to apply more advanced techniques later like deep learning. C. It reduces the number of resources required to describe a large set of data D. All of the others Choose the best description of the active contours A. It is the process of assigning a color to every pixel in an image. B. it defines a separate boundary or curvature for the regions of the target object for segmentation. C. Image segmentation is typically used to recognize the color range and their group in images- D. It is described as a multi-model for the process of segmentation The input of computer vision is an image. 80 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 ln image processing, what is the use of the digital camera? A. The digital camera is used to convert digital images to images stored in the computer. B. The digital camera is a camera that captures photographs in digital memory C. The digital cameras use an arithmetic system, for the acquisition and representation of images. D. The digital camera is a device that captures input and output images. Choose the best answer about homogeneous coordinates A. Homogeneous coordinate is a system of coordinates used in projective images. B. It is used to change the color of the original image to a new dimension. C. It is used to perform salt and pepper noise filters. D. It is the way to approach the projective plane analytically What is computer vision? A. Computer Vision is a field of computer science that enables the computer to understand just like a human. B. Computer Vision is the analysis and manipulation of a digitized image, especially in order to improve its quality. C. Computer \fision is the study of computers and computational systems like electrical and computer engineers. D. Computer Vision is a task defined as the technical analysis of an image by using complex algorithms. 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 In K-means tor Segmentation, what is the meaning of K value? A. lt represents the number of clusters. B. It represents the number of images. C. It represents the step of clusters. D. lt represents the color groups. Choose the best description of the active contours A. It is the process of assigning a color to every pixel in an image. B. It defines a separate boundary or curvature for the regions of the target object for segmentation. C lmage segmentation is typically used to recognize the color range and their group in images. D. It is described as a multi-model for the process of segmentation. It is a type of image segmentation, where we change the pixels of an image to make the image easier to analyze. We convert an image from color or grayscale into a binary image, i.e-, one that is simply black and white. What is the exact name of this process? A. Thresholding Segmentation. B. Edge-Based Segmentation. C. Region-Based Segmentation. D. Watershed Segmentation. Choose the best description of the Hough transform A. The Hough transform is a technique that can be used to isolate features of a particular shape within an image. B. Hough transform can be employed in applications where a simple analytic description of a feature is not possible. C. The main advantage of the Hough transform technique is that it is tolerant of gaps in feature boundary descriptions and is relatively unaffected by image noise. D. All of the others Choose the best description of the gaussian smoothing A. Gaussian smoothing is the result of blurring an image by a Laplace function. B. It enhance image structures at different scales. C. Smooth blur resembling that of replace the image through a translucent screen D. All of the others It is a type of image segmentation, where we change the pixels of an image to make the image easier to analyze. We convert an image from color or grayscale into a binary image, i.e., one that is simply black and white. What is the exact name of this process? A. Thresholding Segmentation. B. Edge-Based Segmentation. C. Regionâ"Based Segmentation. D. Watershed Segmentation. In image processing, why is the Fourier transform used? A. The Fourier Transform is used if we want to access the geometric characteristics of a frequency domain image. B. Because the image in the Fourier domain is decomposed into its sinusoidal components. C. It is easy to examine or process certain spatial of the image, thus influencing the geometric structure in the spatial domain. D. All of the others Why do we need image stitching? A. Image stitching is a widely used technique for recovering original data from ripped data. B. Image stitching is used in forensic and investigative science for the reconstruction of tom paper which is a big problem. C. In image mapping, stitching of images is done to do the complete mapping of a particular place- D. All of the others Algorithms used for face detection based on what set features to recognize faces? Choose the best correct answer A. Eyes, eyebrows, nose, hair, jaw B. Eyes, eyebrows, nose, neck, mouth C. Eyes, eyebrows, nose, mouth, jaw D. Eyes, eyebrows, jaw, neck, ear What is a geometric primitive? A. They work just like the blocks in a typical preschool building set B. Geometric primitives are represented as points and lines. C. Geometric primitives are the basic shapes we all know and recognize D. All of the others What is the basic principle of object detection? A. Object detection is based on the features that make up the object. B. Each object's surface has a different structure and shape. Hence object detection relies on color relevance. C. Object detection is based on the semantics of the objects in the image. D. All of the others What is the basic principle of object detection? A. Object detection is based on the features that make up the object. B. Each object's surface has a different structure and shape. Hence object detection relies on color relevance. C. Object detection is based on the semantics of the objects in the image. D. All of the others Choose the best description of the feature descriptors A. Feature descriptor is an algorithm that takes an image and outputs feature vectors. B. Feature descriptors are used to find the essential features from the given image C. Feature descriptors are used to convert features to other representations through spatial transformations. D. All of the others Choose the best description of the Shearing transfonnations A. Shearing an image means shifting the pixel values either horizontally or vertically. B. It is sounding like translation, but the difference is that shifting is not done by the same amount. C. Basically, this shifts some part of an image to a direction and other parts to some other direction. D. All of the others After extracted features and their descriptors from two or more images then the next is to establish some preliminary feature matches between these images. Which name is it called? A. Feature reduce B. Feature combination C. Feature compression D. Feature matching Choose the best answer about digital image A. The digital image is a two-dimensional array of color B. The digital image is a matrix of pixels. C. The digital images are composed of a combination of colors. D. The digital images are created from digital cameras through a mechanical system. Choose the best description of the Hough transform A. The Hough transform is a technique that can be used to isolate features of a particular shape within an image. B. Hough transform can be employed in applications where a simple analytic description of a feature is not possible. C. The main advantage of the Hough transform technique is that it is tolerant of gaps in feature boundary descriptions and is relativer unaffected by image noise. D. All of the others How are thresholding methods implemented? Choose the best answer A. lt replaces each pixel in an image with a black pixel if the image intensity is less than some fixed constant. B. It replaces each pixel in an image with a white pixel if the image intensity is greater than that constant. C. The first and second is correct D. The first or second is correct In ........, the value of an output pixel is also computed as a weighted sum of neighboring pixels. A. Filter B. Coneiation C. Kernel D. Point Choose the best description of the watershed segmentation A. A watershed is a transformation defined on a grayscale image. B. The watershed transform decomposes an image completely and thus combine each pixel either to a region C. The morphological operator watershed uses regional maximize as seeds for segmenting regions. D. Watershed segmentation is a content-based technique that utilizes image morphology Choose the best description of the K- Mean for segmentation A. The k-means clustering algorithm attempts to split a given anonymous data set into 3 dynamic number of clusters. B. It is used to identity different classes or clusters in the given data based on how similar the data is. C. K Means is a classifying algorithm. D. Data points in the neighbor group are more similar to other data points in that neighbor group than those in other 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. lt 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. [Show More]

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