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The Computer Vision Workshop

The Computer Vision Workshop

By : Hafsa Asad , Vishwesh Ravi Shrimali , Nikhil Singh , Richmond Alake, Tim Hoolihan, Harshil Jain, Geetank Raipuria, Shovon Sengupta, Sanchit Singh
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The Computer Vision Workshop

The Computer Vision Workshop

4.3 (6)
By: Hafsa Asad , Vishwesh Ravi Shrimali , Nikhil Singh , Richmond Alake, Tim Hoolihan, Harshil Jain, Geetank Raipuria, Shovon Sengupta, Sanchit Singh

Overview of this book

Computer Vision (CV) has become an important aspect of AI technology. From driverless cars to medical diagnostics and monitoring the health of crops to fraud detection in banking, computer vision is used across all domains to automate tasks. The Computer Vision Workshop will help you understand how computers master the art of processing digital images and videos to mimic human activities. Starting with an introduction to the OpenCV library, you'll learn how to write your first script using basic image processing operations. You'll then get to grips with essential image and video processing techniques such as histograms, contours, and face processing. As you progress, you'll become familiar with advanced computer vision and deep learning concepts, such as object detection, tracking, and recognition, and finally shift your focus from 2D to 3D visualization. This CV course will enable you to experiment with camera calibration and explore both passive and active canonical 3D reconstruction methods. By the end of this book, you'll have developed the practical skills necessary for building powerful applications to solve computer vision problems.
Table of Contents (10 chapters)
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Object Detection

Object detection is a technique that's used for locating and identifying instances of objects in images or videos. Object detection is popular in applications such as self-driving cars, pedestrian detection, object tracking, and many more. Generally, object detection comprises two steps: first, object localization, to locate an object in an image; and second, object classification, which classifies the located object in the appropriate category. There are many algorithms for object detection, but we will discuss one of the more widely used algorithms, called Single Shot Detector (SSD). Later, we will also implement object detection models using classical algorithms such as the Haar Cascade and LBPH algorithms.

Single Shot Detector

Single Shot Detector (SSD) is a state-of-the-art real-time object detection algorithm that provides much better speeds compared to the Faster-Regional Convolutional Neural Network (RCNN) algorithm (another popular object detection...

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The Computer Vision Workshop
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