4 results about "Template library" patented technology

The invention discloses a real-time gesture recognition method which comprises the steps of (1) decomposing an obtained gesture video into image sequences sorted in a chronological order and preprocessing obtained images and then carrying out hand-region segmentation, (2) extracting a hand shape feature of a hand region in each image and using an SVM support vector machine to identify the hand shape feature as a corresponding gesture value, (3) combining the gesture value of each image and a direction feature of a motion trajectory obtained by an iterating LK pyramid optical flow algorithm asa feature vector of each dynamic gesture image, (4) carrying out loop execution of steps (2) and (3) with a loop end condition that all images of a current video are processed so as to obtain a complete set of feature vector sequences, (5) creating a gesture template library, (6) carrying out optimization DTW match on the obtained feature vector sequences and all templates in a template library, calculating the degree of distortion of the match, wherein recognition is failed if the degree of distortion is larger than a distortion threshold, and a recognition result is outputted if the degree of distortion is smaller than the distortion threshold.

In order to overcome the defect that the sorting result is influenced by errors of internal parameters and external parameters of an industrial camera, the invention provides a machine vision-based automatic workpiece sorting method, which comprises the following steps of: shooting different types of workpiece pictures by using a camera, generating corresponding types of workpiece matching templates and storing the workpiece matching templates in a workpiece feature template library; calibrating the camera to obtain original internal parameters and external parameters of the camera; optimizingthe internal parameters and the external parameters of the camera by adopting a longicorn beard optimization algorithm; constructing a conversion affine matrix of a camera coordinate system and a robot coordinate system according to the optimized camera internal parameters and external parameters; obtaining a workpiece grabbing position coordinate S through a conversion affine matrix of a cameracoordinate system and a robot coordinate system, and enabling the sorting robot to execute workpiece grabbing work according to the workpiece grabbing position coordinate S. The invention further provides a machine vision-based automatic workpiece sorting system, wherein the automatic workpiece sorting system applies the method.