Publication

Efficient ASIC implementation of a real-time depth mapping stereo vision system

2003
Conference Papers

Abstract

This paper presents a fast and area-efficient implementation of a real-time stereo vision algorithm for spatial depth mapping. The design combines two well-known area-based approaches to stereo thatching and includes an occlusion detection method. Hardware efficiency is achieved by storing only partial images on-chip, avoiding full-sized frame buffers. A low-latency dataflow-oriented structure makes it possible to process 256 x 192 pixel Input streams with a rate In excess of 50 frames per second, amounting to more than 54 million pixel x disparity measurements per second (PDS) (for a 25-pixel disparity range), or roughly 18 GOPS. The design has been Integrated In a 0.25 mu m standard CMOS technology and occupies an area of less than 3 mm(2).

Official source

https://infoscience.epfl.ch/entities/publication/116bf69b-2d87-471f-a001-037e096d4a35

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2003
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/116bf69b-2d87-471f-a001-037e096d4a35

About this result

Related concepts (32)

Hardware acceleration

Hardware acceleration is the use of computer hardware designed to perform specific functions more efficiently when compared to software running on a general-purpose central processing unit (CPU). Any transformation of data that can be calculated in software running on a generic CPU can also be calculated in custom-made hardware, or in some mix of both. To perform computing tasks more quickly (or better in some other way), generally one can invest time and money in improving the software, improving the hardware, or both.

Active-pixel sensor

An active-pixel sensor (APS) is an , which was invented by Peter J.W. Noble in 1968, where each pixel sensor unit cell has a photodetector (typically a pinned photodiode) and one or more active transistors. In a metal–oxide–semiconductor (MOS) active-pixel sensor, MOS field-effect transistors (MOSFETs) are used as amplifiers. There are different types of APS, including the early NMOS APS and the now much more common complementary MOS (CMOS) APS, also known as the CMOS sensor.

Digital image processing

Digital image processing is the use of a digital computer to process s through an algorithm. As a subcategory or field of digital signal processing, digital image processing has many advantages over . It allows a much wider range of algorithms to be applied to the input data and can avoid problems such as the build-up of noise and distortion during processing. Since images are defined over two dimensions (perhaps more) digital image processing may be modeled in the form of multidimensional systems.

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