Conclusion

Abstract

The key scientific question addressed here is the design of a computer vision system that can approach human-level performance in the interpretation of ground-level scenes of the natural world. Heretofore, no system has been constructed that demonstrates significant recognition competence in this domain and, worse, the field has not produced a theory about how such a system could be constructed. We offer a new paradigm for the design of computer vision systems that holds promise for achieving human-level competence, and report the experimental results of a system implementing that theory which demonstrates near-human recognition abilities in a natural domain of limited geographic extent.