This paper gives an example of how computer vision algorithms can be reformulated to exploit correlation based hardware without compromising the underlying principles of the algorithm. The work shows results of the "stretch-correlation" algorithm for calibrated stereo depth estimation and goes on to discuss the development of a convolution chip for implementing this algorithm. The motivation for the chip and its applicability to other computer vision algorithms is also discussed.