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This is a pretty tough question. It's more of a research problem, and not something that can be easily answered online.

There are a few general things that you can do:

• Find a Scientific journal about machine vision and read articles about depth from stereo methods. Look at their results, how they measure noise, how much noise they have, and what their suspected sources of noise are. If there is a college or community college near you, they probably have at least something about machine vision.
• Look at OpenCV's stereo depth estimation algorithms and see if they reference any papers or journal articles. Read those.
• Compare your results to an industry-standard depth estimation system such as OpenCV's . Try to measure noise the same way the benchmarks do.
• Enroll in a compute vision course, if there's one available nearby
• Find a local robotics group, join them, and ask around for anyone who may be able to help in person
• If you're already enrolled in a University, find a local professor and ask if they have time to help