Journal: Sensors (Basel, Switzerland)

Article Title: Comprehensive Improvement of Binocular Structured Light Calibration Method Based on Radical-Conservative Cooperative Particle Swarm

doi: 10.3390/s24248155

Figure Lengend Snippet: Binocular gaze cursor calibration model.

Article Snippet: In nonlinear optimization, the Zhang calibration method and the MATLAB calibration toolbox employ traditional optimization algorithms like Levenberg–Marquardt and gradient descent methods.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Comprehensive Improvement of Binocular Structured Light Calibration Method Based on Radical-Conservative Cooperative Particle Swarm

doi: 10.3390/s24248155

Figure Lengend Snippet: Fitting the height of the calibration board using the projections of calibration objects near L 2 .

Article Snippet: In nonlinear optimization, the Zhang calibration method and the MATLAB calibration toolbox employ traditional optimization algorithms like Levenberg–Marquardt and gradient descent methods.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Comprehensive Improvement of Binocular Structured Light Calibration Method Based on Radical-Conservative Cooperative Particle Swarm

doi: 10.3390/s24248155

Figure Lengend Snippet: Stereo vision calibration experiment platform.

Article Snippet: In nonlinear optimization, the Zhang calibration method and the MATLAB calibration toolbox employ traditional optimization algorithms like Levenberg–Marquardt and gradient descent methods.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Comprehensive Improvement of Binocular Structured Light Calibration Method Based on Radical-Conservative Cooperative Particle Swarm

doi: 10.3390/s24248155

Figure Lengend Snippet: Partial patterns collected in the calibration experiment. ( a1 – e3 ) represent five different poses of the calibration board.

Article Snippet: In nonlinear optimization, the Zhang calibration method and the MATLAB calibration toolbox employ traditional optimization algorithms like Levenberg–Marquardt and gradient descent methods.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Comprehensive Improvement of Binocular Structured Light Calibration Method Based on Radical-Conservative Cooperative Particle Swarm

doi: 10.3390/s24248155

Figure Lengend Snippet: Zoom-in Image. ( a – d ) represent the sharpness of the calibration object’s edges under four methods: original image, gamma adjustment, adaptive exposure, and pixel-level dimming.

Article Snippet: In nonlinear optimization, the Zhang calibration method and the MATLAB calibration toolbox employ traditional optimization algorithms like Levenberg–Marquardt and gradient descent methods.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Comprehensive Improvement of Binocular Structured Light Calibration Method Based on Radical-Conservative Cooperative Particle Swarm

doi: 10.3390/s24248155

Figure Lengend Snippet: Relationship between column number of calibration object and ellipse fitting error. ( a , b ) represent the ellipse fitting error when the calibration board is facing the camera directly and when it is tilted towards the camera, respectively.

Article Snippet: In nonlinear optimization, the Zhang calibration method and the MATLAB calibration toolbox employ traditional optimization algorithms like Levenberg–Marquardt and gradient descent methods.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Comprehensive Improvement of Binocular Structured Light Calibration Method Based on Radical-Conservative Cooperative Particle Swarm

doi: 10.3390/s24248155

Figure Lengend Snippet: The four methods’ average, SE, and maximum errors (unit: pixel).

Article Snippet: In nonlinear optimization, the Zhang calibration method and the MATLAB calibration toolbox employ traditional optimization algorithms like Levenberg–Marquardt and gradient descent methods.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: Comprehensive Improvement of Binocular Structured Light Calibration Method Based on Radical-Conservative Cooperative Particle Swarm

doi: 10.3390/s24248155

Figure Lengend Snippet: The time required for the four calibration methods (s).

Article Snippet: In nonlinear optimization, the Zhang calibration method and the MATLAB calibration toolbox employ traditional optimization algorithms like Levenberg–Marquardt and gradient descent methods.

Techniques:

Journal: Sensors (Basel, Switzerland)

Article Title: A Ground-Based Visual System for UAV Detection and Altitude Measurement Deployment and Evaluation of Ghost-YOLOv11n on Edge Devices

doi: 10.3390/s26010205

Figure Lengend Snippet: Camera Calibration Process Flow. ( a ) Image Acquisition. ( b ) Corner Detection. ( c ) Error Analysis.

Article Snippet: The calibration process was performed using MATLAB’s Camera Calibration Toolbox as follows: During the image acquisition phase, the camera captured 23 images from different angles, each containing a checkerboard pattern with a square size of 5 mm.

Techniques: