초록 ▼

A three-dimensional (3-D) machine-vision safety-solution involving a method and apparatus for performing high-integrity, high efficiency machine vision. The machine vision safety solution converts two-dimensional video pixel data into 3-D point data that is used for characterization of specific 3-D

A three-dimensional (3-D) machine-vision safety-solution involving a method and apparatus for performing high-integrity, high efficiency machine vision. The machine vision safety solution converts two-dimensional video pixel data into 3-D point data that is used for characterization of specific 3-D objects, their orientation, and other object characteristics for any object, to provide a video safety "curtain." A (3-D) machine-vision safety-solution apparatus includes an image acquisition device arranged to view a target scene stereoscopically and pass the resulting multiple video output signals to a computer for further processing. The multiple video output signals are connected to the input of a video processor adapted to accept the video signals. Video images from each camera are then synchronously sampled, captured, and stored in a memory associated with a general purpose processor. The digitized image in the form of pixel information can then be stored, manipulated and otherwise processed in accordance with capabilities of the vision system. The machine vision safety solution method and apparatus involves two phases of operation: training and run-time.

대표청구항 ▼

[ What is claimed is:] [1.]1. A method of implementing a machine vision system to compare a model of a 3-D reference target in a viewed scene to a runtime scene, said method comprising:storing information related to said model of said 3-D reference target, said model including a set of 3-D points re

[ What is claimed is:] [1.]1. A method of implementing a machine vision system to compare a model of a 3-D reference target in a viewed scene to a runtime scene, said method comprising:storing information related to said model of said 3-D reference target, said model including a set of 3-D points related to said 3-D reference target;acquiring information related to said runtime scene;processing said information related to said runtime scene to form stereoscopic information including a set of 3-D points related to said runtime scene;comparing said set of 3-D points related to said 3-D reference target with said set of 3-D points related to said runtime scene; anddefining any 3-D entity in said runtime scene other than said 3-D reference target as an intruder;wherein the step of storing information related to said model of said 3-D reference target involves generating said set of 3-D points in the form of a first set of 3-D objects related to said 3-D reference target using a first clustering algorithm, and/or the step of acquiring information related to said runtime scene involves generating said set of 3-D points in the form of a second set of 3-D objects related to said runtime scene using a second clustering algorithm.