4 results about "Compatibility matrix" patented technology

The invention discloses an iterative registration optimization algorithm based on angle clustering, and the algorithm comprises the following steps: inputting an initial scene point cloud and an initial model point cloud, simplifying the initial scene point cloud and the initial model point cloud, and obtaining an initial corresponding point pair set; constructing a compatibility constraint, calculating a compatibility score of each pair of corresponding point pairs, and sequencing to construct a compatibility matrix; performing outer layer circulation: sequentially selecting the foremost point pair from the compatibility matrix as a first corresponding point pair; inner layer circulation: selecting a second corresponding point pair; clustering the corresponding point pairs based on the six rotational degrees of freedom, and selecting all significant clusters to generate a conversion hypothesis; and verifying and selecting an optimal conversion hypothesis as an output conversion matrix. The compatibility among all the corresponding point pairs is evaluated by constructing a compatibility matrix; a simple and effective clustering strategy is adopted, and all significant clusters are considered to generate a conversion hypothesis; the simplified point clouds and the key points are effectively combined through a hypothesis verification strategy, and the accuracy of alignment of the low-overlapping point clouds is improved.

The application discloses a building envelope parameterized design method based on forward mapping and reverse generation, and relates to the technical field of building envelope design, which comprises the following steps: constructing a rule set containing a material set allowed in each layer and a material compatibility matrix of adjacent layers; training a neural network to be a forward mapping model with the thickness and material code of each layer as input and the thermal parameter as output; determining the target thermal parameter according to the building performance requirement; inputting the target thermal parameter into the condition generation model of the non-light-transmitting envelope structure, and decoding from the outside to the inside layer by layer, generating an allowed mask according to the allowed material set, generating a dynamic mask according to the material type determined in the previous layer and searching the compatibility matrix, applying the two masks to the current layer material category to make the illegal material probability zero to obtain the alternative scheme; under the constraint of the rule set, the light-transmitting envelope structure traverses the legal material and thickness combination to filter the alternative scheme with the minimum deviation from the target thermal parameter; and finally, the alternative scheme is input into the forward mapping model to check the output final recommended scheme.

The invention discloses an industrial software compatibility adaptation verification method and system based on AI dynamic environment simulation, and relates to the technical field of industrial software compatibility adaptation, and the method comprises the following steps: obtaining a software compatibility matrix, and obtaining a verification test combination by using an orthogonal analysis method; simulating the operating environment, and testing to obtain a parameter test proportion and a test judgment area; carrying out compatibility analysis on the verification result based on the test judgment area; the method is used for solving the problems that in an existing industrial software compatibility adaptation verification method, all test items of a tested object cannot be effectively combined in different operation environments, and judgment standards during compatibility adaptation verification cannot be obtained, so that the overall verification efficiency is too low, and judgment on verification reasonability is lacked; and high-efficiency verification cannot be realized.

The invention provides a point cloud registration method and device, computer equipment and a storage medium, and belongs to the technical field of three-dimensional point cloud data processing.The method comprises the steps that an initial pairing set is generated based on descriptors of an original point cloud and a target point cloud, the compatibility score of each pair of pairing is calculated through geometric distance constraints and angle constraints of point pair features, and the compatibility score of each pair of pairing is obtained; generating an initial compatibility matrix; sorting the initial pairing set according to the compatibility score, and iteratively updating a compatibility matrix based on an annealing strategy on the basis of a sorting result; wherein the current pairing set is sorted again according to the compatibility matrix updated last time in each updating process; and based on the updated compatibility matrix, a weighted singular value decomposition method is adopted to calculate a conversion matrix from the original point cloud to the target point cloud. Therefore, the success rate of point cloud registration under the condition that the initial pairing set contains a large number of wrong pairing is remarkably improved.