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156results about How to "Reduce recognition" patented technology

Visual capture method and device based on depth image and readable storage medium

InactiveCN107748890AImprove robustnessTexture features, so that the system can not only recognize lessCharacter and pattern recognitionCluster algorithmPattern recognition
The invention discloses a visual capture method and device based on a depth image and a readable storage medium. The method comprises steps that a point cloud image is acquired through a depth cameraKinect, the acquired point cloud image is segmented through an RANSAN random sampling consensus algorithm and an Euclidean clustering algorithm, and an identification-needing target object is acquiredthrough segmentation; 3D global characteristics and color characteristics of the object are respectively extracted and are fused to form a new global characteristic; off-line training of a multi-class support vector machine classifier SVM is carried out through utilizing the new global characteristic of the object, category of the target object is identified through utilizing the trained multi-class support vector machine classifier SVM according to the new global characteristic; then the category and the grasping position of the target object are determined; and lastly, according to the category of the target object and the grasping position of the target object, a manipulator and a gripper are controlled for grasping the target object to the specified position. The method is advantagedin that the target object can be accurately identified and grasped.
Owner:SHANTOU UNIV

Identifying patterns of symbols in sequences of symbols using a binary array representation of the sequence

The present invention relates to computer-implemented methods for finding patterns in patterns in a set of k-sequences of symbols (where k≧2) and to a computer readable medium having instructions for controlling a computer system to perform the methods. Patterns of symbols common to each 2-tuple of sequences are identified. Each identified pattern of symbols is represented by a position index binary array (PIBA) which is a set of binary digits. The binary digit in each place in the array that corresponds to a location in a selected reference sequence of a symbol in the identified pattern has a first predetermined binary value. All of the other binary digits in the array have a second predetermined binary value. The position index binary array (PIBA) representations of patterns of each tuple at any order “n” may be combined with the PIBA pattern representations of all other tuples at that same order “n” or with the pattern representations in any selected m-tuple, where m may have any integer value from 2 to (n−1). The patterns of the resulting tuple are identified from the position index binary arrays (PIBAs) produced by the intersection of the set of binary digits in each position index binary array (PIBA) in the n-tuple with the set of binary digits in each position index binary array (PIBA) in the other tuple. The intersections are accomplished logically, as by performing a logical AND operation in a bit-by-bit manner on the binary arrays. Using the places in the position index binary array (PIBA) produced by the intersections having the first predetermined binary value as a guide, the symbols in corresponding locations in the reference sequence are identified. These symbols comprise the symbols in the identified pattern in the resulting tuple.
Owner:EI DU PONT DE NEMOURS & CO
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