![]() This topic involves developing a forward algorithm that can solve both image classification and segmentation problems simultaneously. The aim is to develop algorithms that can automatically analyze and generate these types of documents. This topic involves the analysis and generation of document images that contain multiple types of content, such as text, images, and graphics. The aim is to correct distortions caused by camera perspectives, such as when taking photos of buildings or landscapes. ![]() This topic involves using deep learning techniques to perform perspective transformations on images. Mathematics: You’ll need to be comfortable with mathematical concepts such as calculus, optimization, and differential equations. Programming: You’ll need to be proficient in at least one programming language, such as Python, and be familiar with popular libraries like TensorFlow, PyTorch, and OpenCV. Machine learning: You’ll need to understand the basics of machine learning, such as supervised and unsupervised learning, as well as deep learning techniques like convolutional neural networks (CNNs) and recurrent neural networks (RNNs). Image processing: You should be familiar with techniques for image filtering, enhancement, and restoration.Ĭomputer vision: You’ll need to have a good understanding of image classification, object detection, and segmentation techniques. This project involves the development of both front-end and back-end.
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