Revolving of Pixels and Bits in Pixels-Plan (E) Tary Encryption

Digital image compression: pixels n' bits.

PixelNet: Representation of the pixels, by the pixels, and for the pixels

We explore design principles for general pixel-level prediction problems, from low-level edge detection to midlevel surface normal estimation to high-level semantic segmentation. Convolutional predictors, such as the fullyconvolutional network (FCN), have achieved remarkable success by exploiting the spatial redundancy of neighboring pixels through convolutional processing. Though computational...

Polymorphic Pixels

We present an alternative to traditional texture compression techniques whereby a clear data channel is embedded within a texture using steganographic techniques. The resulting pixels are polymorphic – they can be used without decompression and the embedded data can be extracted and used for alternative purposes. The technique has fewer degenerate cases than DXT, does not suffer from high-frequ...

Urban Pixels

“Urban Pixels” are wireless, solar-powered lighting units for cities that blur the boundary between digital display technology and traditional urban lighting. By combining a renewable energy source with RF communication it is possible to achieve a self-sustaining, distributed display network that can be attached to any building surface and reconfigured with ease. Depending on their configuratio...

Pixels, Stixels, and Objects

Dense stereo vision has evolved into a powerful foundation for the next generation of intelligent vehicles. The high spatial and temporal resolution allows for robust obstacle detection in complex inner city scenarios, including pedestrian recognition and detection of partially hidden moving objects. Aiming at a vision architecture for efficiently solving an increasing number of vision tasks, t...