Computer Vision is a field that has undergone a remarkable evolution since its inception in 1959. Initially, the development of computer vision relied on algorithms, such as kernels, homographies, and graph models, which enabled computers to interpret and process visual data. However, the computational demands of image recognition and semantic segmentation were too vast for the computing technology of that era. Thanks to the surge in computing power during the 2000s and 2010s, the adoption of neural networks enabled the development of Convolutional Neural Networks (CNNs), revolutionizing computer vision and paving the way for more efficient and accurate image recognition, object detection, and scene understanding. Today, Computer Vision holds promises for a variety of applications, from self-driving cars to accelerated medical diagnoses.
Related Posts
