Question: 0-1: Segmentation, Filtering (CLO 21 (10 Marka) Consider the Sine Wave given below and answer the following: (4 Marks) 2. How many samples should we

 0-1: Segmentation, Filtering (CLO 21 (10 Marka) Consider the Sine Wave

0-1: Segmentation, Filtering (CLO 21 (10 Marka) Consider the Sine Wave given below and answer the following: (4 Marks) 2. How many samples should we take? b. Draw a discretized form of the above Sine Wave IL How would you create a soft shadow affect as shown in the image 16 Marks) COMSATS UNI Q-2. Hough Transform (CLO 3) (10 Marka) Glve the frequency domain visualizations of the following: (4 Marka Scle the following Il ? IL Draw the parameter space representations of the following using Hough Transform (Show your cakulations): (6 Miks Q-3: - Motion Analysis (CLO 41 10 Marks) Draw the process flow using camera models and sensor orientation to create the following vignetting effects ii. Using the following kernel aria draw the process of mean shift tracker. 15 Q4 - Audio, Speech and Recognition Tools CLO 5 (10 Marks) i. Apply Lucas-Kanade Alignment to the following speech signal using the highlighted window as the reference: 100000 50000 00 -50000 100000 0.0 10.0 200 30.0 0-1: Segmentation, Filtering (CLO 21 (10 Marka) Consider the Sine Wave given below and answer the following: (4 Marks) 2. How many samples should we take? b. Draw a discretized form of the above Sine Wave IL How would you create a soft shadow affect as shown in the image 16 Marks) COMSATS UNI Q-2. Hough Transform (CLO 3) (10 Marka) Glve the frequency domain visualizations of the following: (4 Marka Scle the following Il ? IL Draw the parameter space representations of the following using Hough Transform (Show your cakulations): (6 Miks Q-3: - Motion Analysis (CLO 41 10 Marks) Draw the process flow using camera models and sensor orientation to create the following vignetting effects ii. Using the following kernel aria draw the process of mean shift tracker. 15 Q4 - Audio, Speech and Recognition Tools CLO 5 (10 Marks) i. Apply Lucas-Kanade Alignment to the following speech signal using the highlighted window as the reference: 100000 50000 00 -50000 100000 0.0 10.0 200 30.0

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