Visual part recognition matches weld features to stored settings, cutting manual setup time while improving parameter accuracy for intricate welds.
Image-based weld part recognition matches stored part features to automatically apply weld settings, cutting setup time and improving parameter accuracy.
Two wide-angle cameras use azimuthal projection and reference points to calculate absolute object position for accurate indoor AR.
ROI-based HMM tracking isolates detected aircraft and searches outside each tracked region to maintain multi-object detection with lower computation.
Using simulated SAR images and offset correction, this case realigns digital elevation models without ground control points to improve absolute accuracy.
A photogrammetry algorithm derives three-dimensional models from user images by refining camera parameters through map-based input and default values.
Dynamic texture maps combine static facial gesture models with video data to emulate realistic performances without heavy processing power.
Automated optical scanning transfers exact hole locations to new aircraft components, eliminating manual mate-drilling errors and reducing labor costs.
A 3D image capture device uses a striped filter and mirror optics to direct light paths for multi-viewpoint imaging.
Epipolar geometry calculations determine dynamic search ranges within intra-overlap areas, reducing computation time and incorrect matches.
A 3D imaging system fuses stereo vision with time-of-flight sensors to generate high-resolution spatial data.
Processor calculates calibration parameters from feature comparison between sensors to correct errors caused by external interference.
Segments long temporal SAR image sequences into sub-sequences anchored to an intermediate base image, minimizing error propagation during co-registration.