36results about How to "Reduce matching calculations" patented technology

The invention relates to an image matching method, comprising the following steps: (1) collecting images to be matched by an image collector and extracting template images from an image processor; (2) reducing the images to be matched and template images by half in the directions of width and height; (3) repeating step (2) until the images to be matched and template images reach specified sizes and carrying out gray scale normalization cross correlation matching on the reduced images to obtain the optimal matching positions (x, y); (4) returning to the previous images which are reduced by half and carrying out further matching on 9 search positions within the range of ((2x-1)-(2x+1), (2y-1)-(2y+1)) to obtain new optimal matching positions (x, y); (5) repeating step (2) until returning to the primary image, namely the original image, and carry out final matching to obtain the optimal matching positions and matching values. The method features shorter matching time and smaller amount of calculation.

The invention discloses a speckle-based three-dimensional-face reconstruction method and device. The method and the device can reduce matching calculation quantity while image feature richness is improved, and realize synchronized improvement of three-dimensional-face reconstruction efficiency and reconstruction precision. The method comprises: inputting a plurality of speckle image pairs conforming to binocular stereo vision; carrying out polar line correction on the input speckle image pairs to enable corresponding matching points to be at the same horizontal lines; carrying out face detection on the speckle image pairs after polar line correction, and extracting region-of-interest image pairs of to-be-reconstructed faces; carrying out first matching processing on the region-of-interestimage pairs to obtain first parallax graphs; setting a matching point searching range according to parallax in the first parallax graphs, and carrying out second matching processing on the region-of-interest image pairs to obtain second parallax graphs; and generating corresponding three-dimensional point cloud data according to the second parallax graphs and camera calibration parameters to obtain the reconstructed three-dimensional faces.

The invention provides a colorful animal image retrieval method based on content and a colorful animal image retrieval system based on content. The method comprises the following steps: step 1, inputting an inquiry image which serves as a retrieval object; step 2, extracting the color, grain and framework characteristic descriptions of interested content in the inquiry image based on the guidance of a characteristic template library, and performing normalization processing, wherein the characteristic descriptions, which are different in animal color, grain and framework and are formed on the basis of sample statistics, are stored in the characteristic template library; step 3, performing retrieval based on an R-tree index structure on the characteristic descriptions extracted in the step 2, performing search calculation on image characteristic indexes in a characteristic index library, and extracting a corresponding image from an image database according to the matching result. The method and the system can be used for overcoming the influence of illumination changes on image retrieval judgment to a certain extent, describing the angle and posture semantic information of an inquiry animal according to the framework characteristic analysis during retrieval, and generating a retrieval result consistent with the human visual perception.

Embodiments of the invention provide methods for matching text information and pushing business objects, and devices for matching text information and pushing business objects. The method for matching text information comprises: obtaining a to-be-matched first text information set and a to-be-matched second text information set, the first text information set comprising first text information in limited number, the second text information set comprising second text information in limited number; and according to preset rules, inquiring one or more piece of information in the second text information in the limited number, the one or more piece of information being matched with each piece of information in the first text information in the limited number. An open extension thinking of directly finding extended words from the first text information is given up, and the method turns to a closed interval, to search one or more piece of information in the second text information in the limited number, the one or more piece of information being matched with each piece of information in the first text information in the limited number, so as to save unnecessary matching calculation amount, reduce system resource waste, and improve efficiency of matching calculation.

The invention discloses a method for splicing videos in real time and belongs to technical field of video image processing. The method computes the overlapped area of video frame images to be spliced by using a phase correlation method, improves a SURF (Speeded UP Robust Features) algorithm, simplifies the generation process of a characteristic point descriptor in the SURF algorithm, reduces the dimensionality of the descriptor, extracts the characteristic points of the overlapped area of the video frames by using the improved SURF algorithm. The invention provides an image registration method based on characteristic block matching to match the characteristic points, decrease calculated amount, increase computational efficiency, and quickly solve an image conversion model by using the characteristic block matching. Finally the invention provides a projection matrix updating method based on a correlation coefficient. The projection matrix updating method is used for updating a projection matrix, prevents erroneous splicing results, and fusing the video frame images so as to splice the videos in real time.

The embodiment of the invention provides an image retrieval method and device. According to the method, by obtaining an image to be retrieved, text information contained in the image to be retrieved is obtained accordingly; furthermore, the text information is utilized for conducting the retrieval so that a retrieval result matched with the image to be retrieved can be obtained. Therefore, by means of the technical scheme of the method and device, the complexity of image retrieval can be reduced, and the image retrieval efficiency can be raised.

The invention relates to the field of road pavement detection, in particular to a smart city road pavement detection method and system based on computer vision. The method comprises the steps of acquiring a reference image and a comparison image of a to-be-detected pavement area, and pre-processing the reference image and the comparison image; performing edge detection on the reference image to obtain each edge region of the reference image; and based on each edge region of the reference image, matching the pixel points of the reference image and the comparison image, and determining the flatness condition of the to-be-detected pavement according to the matching result of the pixel points. According to the invention, the real-time detection of the flatness of the road pavement is realized, the accuracy of road detection is improved, and the time used for road pavement detection is shortened at the same time.

The invention provides a visual positioning navigation method, a visual positioning navigation device and a terminal. The visual positioning navigation method comprises the steps of: establishing a critical path based on critical locations and route information between the critical locations, and acquiring critical location contour features associated with the critical location; acquiring surrounding map information of surrounding locations of the critical path, wherein the surrounding map information comprises surrounding location contour features and displacement information between the critical locations; and determining the critical location adjacent to a current location based on critical location contour features when performing positioning navigation, and determining position information of a current location according to the surrounding map information and the critical locations. The visual positioning navigation method, the visual positioning navigation device and the terminalcan perform pre-learn training of manual intervention of the critical locations and paths, effectively reduce the global graphic feature matching calculation amount, improve the recognition efficiency and reliability, and provide users with precise and low-cost indoor positioning navigation experience.

The invention discloses a P2P energy transaction method based on a block chain and a multi-objective decision, and the method comprises the following steps: S1, enabling an electricity selling/purchasing user to submit electricity selling/purchasing information and an electricity selling/purchasing matching requirement on the block chain, generating a record, and saving the record by chains; S2, after a transaction matching settlement contract in the period is triggered, reading the latest electricity selling record from the blockchain and matching transactions S3, generating a transaction pre-matching record and performing uplink storage; S4, enabling an electricity selling user to acquire the transaction pre-matching record from the blockchain and authorize a transaction pre-matching record, and generating and saving an electric power transaction matching record by chains; and S5, enabling an electricity purchasing user to acquire the transaction pre-matching record and an electricity transaction matching record with the electricity selling user private key signature from the block chain, complete transaction account transfer, generate an account transfer record, and upload and save the account transfer record by chains. According to the matching method based on the multi-objective decision, an accurate utility function calculation method is provided, and a corresponding multi-attribute combination method is designed according to the relationship among the attributes, so that matching satisfaction of a transaction subject can be improved.

The invention discloses a data-processing method and an electronic device. The data-processing method comprises steps of: acquiring a first image and a second image of a target object by using a first image acquisition unit and a second image acquisition unit respectively; dividing the first image into N subareas, wherein N is greater than or equal to 2; acquiring the pixel at the mass center of each subarea of the first image, matching the pixels at the mass centers of the subareas of the first image with pixels within a first predetermined area of the second image to obtain an operation result; according to the operation result, using the pixel satisfying a predetermined condition as a pixel matching the pixel at the mass center so as to obtain a matching result.

The invention relates to the field of artificial intelligence, and discloses a neural network-based online appointment registration method and device, and the method comprises the steps: receiving an online registration request inputted by a user, and collecting the registration information of the online registration request, the registration information comprising user information, illness state information and the registration time; performing information authentication on the user information; when the information authentication succeeds, acquiring a face image of the user, and performing face authentication on the face image; when the face authentication is successful, performing feature extraction on the illness state information to obtain feature illness state information; and according to the registration time, matching a correlation degree between the characteristic illness state information and medical personnel in a medical library, and selecting the medical personnel of which the correlation degree is greater than a preset threshold value as a target registration object of the online registration request. In addition, the invention also provides a neural network-based online appointment registration device, electronic equipment and a storage medium. According to the invention, the information consistency of online appointment registration can be ensured, the reliability of online appointment registration is improved, and the phenomenon of medical resource waste is avoided.

The invention discloses a distance measurement method based on image matching, a storage medium and electronic equipment. The method comprises the following steps: S1, collecting an image of a to-be-measured target; s2, performing three-dimensional correction on the acquired image according to the three-dimensional correction matrix; s3, extracting edge features of the image after three-dimensional correction; s4, performing stereo matching by using a semi-global stereo matching algorithm to obtain a sparse disparity map; s5, adaptive sampling is carried out on the sparse disparity map, and a dense disparity map is recovered; and S6, solving the distance between the detection point and the to-be-detected target according to the dense disparity map. According to the scheme, the edge features of the to-be-detected target are extracted and then stereo matching is performed, so that the matching calculation amount is greatly reduced, and the real-time performance of stereo matching is improved. And meanwhile, the sparse disparity map is recovered into a dense disparity map by adopting a self-adaptive sampling algorithm, so that the integrity and the accuracy of distance measurement are ensured.