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Hakkaranien & Lee's AVD CCD Chip for Stereo Vision

 

In  [Hakkaranien and Lee 93, Hakkaranien et al. 91] Hakkaranien and Lee describe a CCD/CMOS chip for computing one of the stages in processing stereo vision. In implementing the Marr-Poggio-Drumheller algorithm for stereo vision, four processing steps are required.

  1. Enhancing the image and image features
  2. Computing the match data for each pixel in the left and right images
  3. Computing the inhibitory and excitatory weights for neighbors
  4. Selecting the best match according to the weights obtained from the previous stage.

The chip only implements the second step. It comprises a CCD input stage, CCD shift registers, floating-gate output stage for non-destructive read out, absolute value of difference (AVD) circuit, CCD memory for storing the output of AVD stage, and a floating-diffusion output stage. The architecture is shown in Figure 4.1. The main part, i.e. the AVD cells generate an absolute value of difference of two pixels from the left and right images. It is composed of two cross coupled fill-and-spill CCD circuits, shown in Figure 4.2. Considering only the CCD elements connected to VL and VR it can easily be seen that when VR > VL the potential well of the left fill-and-spill circuit retains a charge proportional to the difference of VL and VR, while the right fill-and-spill circuit becomes empty.

The chip has a 40 tex2html_wrap_inline7232 40 array of match generators. It has been designed using a 2 tex2html_wrap_inline7217 CCD/CMOS process in an area of 7.4mm tex2html_wrap_inline7232 8.7mm, and dissipates 450mW.

   figure1291
Figure 4.1: Architecture of Hakkaranien-Lee's vision chip.

   figure1299
Figure 4.2: The AVD cross section showing potential wells when VR > VL.


next up previous contents
Next: Erten's CMOS Chip for Up: Analog VLSI Chips for Previous: Introduction

Alireza Moini,
Centre for High Performance Integrated Technologies and Systems (CHIPTEC),
Adelaide, SA 5005,
March 1997