Abstract: We propose a convolutional autoencoder neural network for image classification in YCbCr color space to reduce computational complexity. We first learned local image features from image ...

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University of Nebraska–Lincoln researchers have developed synthetic skins that mimic cephalopod chromatophores for use in ...

Your computer screen then uses red, green, and blue pixels, which tricks our brain into seeing a color image. While we can't see radio light, radio telescopes can see colors, known as bands.

Recently, text-based image generation models can automatically create high-resolution, high-quality images solely from ...

Each result includes a pill’s picture, its brand and generic names ... or drugs from outside the United States. The pill’s color Its shape Its imprint code (the text imprinted on or carved ...

Abstract: In this paper, we propose a new asymmetric supervised deep autoencoder approach to retrieve 3D shapes based on depth images. The asymmetric supervised autoencoder is trained with real and ...