[CV] Final Upload

Author: kvatz

README.md

@@ -1,8 +1,7 @@
 # Computer-Vision-Assignments
 
-> Reports of all the assignments are available in ./Report directory.
+## Reports of all the assignments are available in ./Report directory.
 
-============================================================================
 ## Assignment-1
 - Average Filter (3x3, 5x5, 11x11, and 15x15). Analysis of using avg filter with different kernel sizes.
 - Adding *Salt and Pepper noise*. Removing noise using median filter with different kernel sizes.
@@ -11,13 +10,11 @@
 - Performed **Discrete Wavelet Transform using Haar classifier** to remove High frequency component to smoothen the images.
 - Performed Watermarking using DWT.
 
-============================================================================
 ## Assignment-2
 - Implemented **Hough Tranform for circles** from scratch.
 - Camera Calibration using checkerboard.
 - Implemented **Harris Corner Detection** from scratch.
 
-============================================================================
 ## Assignment-3
 - Image segmentation using **K-Means clustering** for:
     - 3-D Color Space
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     - Seeded Segmentation - Manually marking point in an image and recursively analyzing nearby points. 
 - **Image Classification** using **Bag-of-Visual-Word** with HOG and LBP features on **CIFAR-10** Dataset.
 
-============================================================================
 ## Assignment-4
 - **Image Classification**: Extracted features from pretrained **AlexNet** model and classification using Random Forest Classifier.
 - **Convolutional Neural Network**: Created our own architecture for CNN and performed 4 class classfication from CIFAR-10 Dataset.
 - **Image Identification and Matching**: Matched using **Brute-Force** feature matching technique and plotted box for matched object in images.
 - **Panaroma Stiching**: Stiched 3 Taj Mahal Images into 1.
 
-============================================================================
 ## Assignment-5 [Bonus]
 - Computed **Depth Map** in given 2 images.
-
-============================================================================