APPARATUSES AND METHODS FOR MACHINE VISION SYSTEMS INCLUDING CREATION OF A POINT CLOUD MODEL AND/OR THREE DIMENSIONAL MODEL BASED ON MULTIPLE IMAGES FROM DIFFERENT PERSPECTIVES AND COMBINATION OF DEPTH CUES FROM CAMERA MOTION AND DEFOCUS WITH VARIOUS APPLICATIONS INCLUDING NAVIGATION SYSTEMS, AND PATTERN MATCHING SYSTEMS AS WELL AS ESTIMATING RELATIVE BLUR BETWEEN IMAGES FOR USE IN DEPTH FROM DEFOCUS OR AUTOFOCUSING APPLICATIONS

摘要

Machine vision systems/methods and related application systems/methods are provided that includes steps/control sections including capturing pairs of multiple images from at least two cameras having overlapping fields of views and camera settings, first and second category depth estimation (DE) modules (DEM) that generates a first and second depth estimate (z), DE neural network trainer (NN) trigger system, a camera setting module, and an application that uses outputs from the first or second category DEM. The first category DEM includes featuring matching, structure from motion (SFM), depth from defocus (DFD), ratios of depth (RoD) and relative blur estimates (RBE) generators, systems of equations (SoEs) based on camera model projective geometry equations and thin lens equations module, and multiple SoE variable elimination modules using the RoDs and RBEs to reduce variables in the SoEs. The second DEM includes a NN DE trainer/use system. Also uses a reinforcement learning camera setting selection system.