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38results about How to "Improve calibration results" patented technology

Camera self-calibration method based on IOS-PSO (Internetwork Operating System-Particle Swarm Optimization)

The invention discloses a camera self-calibration method based on IOS-PSO (Internetwork Operating System-Particle Swarm Optimization). The method is relatively simple in algorithm, high in efficiency and high in optimizing result precision. The method mainly comprises three steps: S1, establishing an internal parameter-based cost function of a camera; S2, performing IOS-PSO on the cost function; and S3, limiting a rule for an IOS-PSO search result. The method comprises the following specific steps: acquiring four pictures of different angles of the same scenario; extracting and matching image feature points; solving three basis matrixes F by using the matched points and adopting an RANSAC (Random Sample Consensus) method, and then performing SVD (singular value decomposition) on the basis matrixes to construct the cost function as a fitness function of particle swarm optimization; dividing a set initial search interval, and setting a research rule according to the optimal value; taking five unknown internal parameters fu, fv, u0, v0 and s to be calibrated in the camera as particle elements of a particle swarm; performing IOS-PSO search; and if the search result accords with the search rule, selecting the final search result, otherwise, searching again. Contrast experiments of four algorithms verify that the calibration result of the method is accurate, stable and efficient.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Processing method and processing system for earthquake strong amplitude abnormity

The invention discloses a processing method and a processing system for earthquake strong amplitude abnormity. The processing method comprises the following steps: respectively extracting earthquake wavelets of a stable sedimentary stratum on a strong amplitude abnormity interface, earthquake wavelets of a stable sedimentary stratum on a strong amplitude abnormity interface and earthquake waveletsof a stable sedimentary stratum on a strong amplitude abnormity interface; obtaining an average reflection coefficient body; acquiring the seismic wavelets of the stable sedimentary strata on the high-amplitude abnormal interface and average wavelets of seismic wavelets of the stable sedimentary strata on the high-amplitude abnormal interface; and based on the average reflection coefficient bodyand the average wavelet, obtaining seismic data for eliminating strong amplitude abnormity. According to the method, the seismic wavelets of the high-amplitude abnormal interface and the upper and lower stable sedimentary stratums are extracted, the seismic data with the high-amplitude abnormality eliminated are obtained through convolution of the average reflection coefficient body and the seismic wavelets of the stable sedimentary stratums, effective signals cannot be lost, and then the correction result is improved.
Owner:CHINA PETROLEUM & CHEM CORP +1

A camera self-calibration method based on ios‑pso

The invention discloses a camera self-calibration method based on IOS-PSO (Internetwork Operating System-Particle Swarm Optimization). The method is relatively simple in algorithm, high in efficiency and high in optimizing result precision. The method mainly comprises three steps: S1, establishing an internal parameter-based cost function of a camera; S2, performing IOS-PSO on the cost function; and S3, limiting a rule for an IOS-PSO search result. The method comprises the following specific steps: acquiring four pictures of different angles of the same scenario; extracting and matching image feature points; solving three basis matrixes F by using the matched points and adopting an RANSAC (Random Sample Consensus) method, and then performing SVD (singular value decomposition) on the basis matrixes to construct the cost function as a fitness function of particle swarm optimization; dividing a set initial search interval, and setting a research rule according to the optimal value; taking five unknown internal parameters fu, fv, u0, v0 and s to be calibrated in the camera as particle elements of a particle swarm; performing IOS-PSO search; and if the search result accords with the search rule, selecting the final search result, otherwise, searching again. Contrast experiments of four algorithms verify that the calibration result of the method is accurate, stable and efficient.
Owner:BEIJING INSTITUTE OF TECHNOLOGYGY

Various oil pressure channel calibration devices

The invention relates to a variety of oil pressure channel calibration devices, including an oil pressure generating unit and an oil pressure measurement and control unit; the oil pressure generating unit is used to generate pressure in the oil channel, including a pre-charging pump and a hand pump. The pump is used to decompress the oil passage and fill the oil. The hand pump is used to boost the pressure in the oil passage and the meter to be tested. By adjusting the fine-tuning valve, the pressure in the oil passage can reach the required pressure value. The check valve releases the pressure and checks the pressure. The oil pressure measurement and control unit is used to measure and control the pressure in the oil channel, including the central control module and the data acquisition module. The central control module is a single-chip microcomputer, and the pressure input and The preprocessing module receives the data transmitted by the first pressure output terminal and the second pressure output terminal and preprocesses the data, and transmits the preprocessed data to the data acquisition module, which is connected to the central control module, and the processed The data is transmitted to the central control module and displayed on the display module.
Owner:中国人民解放军海军航空大学青岛校区

Adaptive Variational Correction Method for Luminance Inhomogeneity Based on Variational Framework

The invention discloses an adaptive brightness unevenness variation correction method based on a Retinex variation framework and aims to provide an adaptive correction method to realize no logarithm transformation, eliminate a non-uniform image brightness phenomenon and effectively keep image colors and the detailed information. The method is characterized in that an optical imaging detection system is utilized to acquire an uneven degeneration image as an observation image; an adaptive weight function is constructed according to space characteristics of the observation image; an original Retinex theory is utilized to construct a variation correction model, total variation regularization constraint intensities of a reflection component in the variation correction model at different pixel points are adaptively controlled through the weight function, and a mean value of the reflection component is employed to approximate gray mean constraints to prevent local overexposure; a split Bregman iteration method and an alternative minimization method are then utilized to solve the variation correction model to acquire an illumination component and the reflection component, and the reflection component is lastly rounded to acquire a correction image.
Owner:10TH RES INST OF CETC
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