Tag: Convolution

  • Introduction to Computer Vision

    Introduction to Computer Vision

    CNNs are a special type of neural network designed to work with image data. CNNs use convolutional layers – hidden layers which perform convolution operations. They have some different characteristics to ANNs: The first part in this architecture is the convolutional layer followed by the pooling layer and the second part is the fully connected…

  • The Emergence of Convolution

    The Emergence of Convolution

    Feature Extraction Conventional Feature Extraction Techniques The two most historically-important, manual feature extraction techniques have been: HOG SIFT HOG mainly focuses on thestructure and shape of anobject. In SIFT, image content is convertedinto local feature coordinates that arenot affected by rotation, scaling, orother image manipulations HOG is different from onlydetecting edges, as it alsoidentifies the…