A multi-camera system captures visual data to estimate 3D pose and orientation.
A data stream identification method generates feature images from packet transmission attributes for application classification.
A piecewise linear scaling method transforms min-max normalized depth values into geometry atlases using variable gradients across multiple intervals.
A wireless packet analyzer captures device identifiers to correlate location data for continuous target tracking across sensor zones.
Automated image and audio recognition extracts objective atmospheric data from social media posts for precise location event categorization.
A LiDAR object classification method transforms rectangular coordinates into complex values and applies Fast Fourier Transform to extract frequency domain features.
Laser projection overlays scanned defect images on parts, replacing manual tracing to reduce inspection time and human error.
Multi-angle image stitching generates a complete target view to resolve identification reliability issues caused by curved surfaces lacking planar features.
A camera-monitor system aligns images from dual side cameras using homography transformation parameters to create a unified view.