A projector display system creates physical shadows for virtual objects in mixed reality environments.
Sobel edge detection filters image windows into foreground candidates, reducing computational load by limiting Viola-Jones analysis to relevant regions.
Optical markers and mirrors track patient pose in magnetic fields, correcting scan planes to reduce motion artifacts.
Structured light illumination segments scenes to reduce blooming artifacts and improve depth measurement accuracy in reflective environments.
Superimposed indicators guide users to optimal imaging positions, resolving the trade-off between 3D data accuracy and excessive workload.
A facial identification system extracts difference features between training and operational data to construct specialized secondary identifiers.
Neural rendering upsamples low-resolution images using reference data, resolving the contradiction between simulation versatility and visual accuracy.
A processor captures real space images to collect mesh data and determine edge coordinates for virtual environments.
The apparatus reduces radiologist workload by extracting only necessary analysis results based on predefined conditions, thereby simplifying confirmation of AI diagnosis support.
Dark and bright field illumination detects cover glass edges to define the sample area, reducing scan time and storage needs.
A camera-based apparatus detects objects and applies pre-stored three-dimensional shape data to construct detailed environmental maps.
Communication terminals synchronize image display order using hierarchical Z-coordinates to manage shared visual content.
A hierarchical domain-based object recognition service identifies objects through sequential inference across general and sub-classification levels.
Segmented display regions show original, processed, and related dynamic images simultaneously to reduce diagnostic comparison time.
A traffic signal recognition system compares detected lamp patterns with pre-stored reference data to identify lighting states.
Segmentation system defines search regions and constructs directed graphs to reduce human error in axillary lymph node measurements.
Gray level co-occurrence matrix analysis compares sorted inertia lists across magnitude ranges to distinguish genuine barcodes from photocopies.
Angle projection extracts vibration propagation slope from position-time graphs to calculate viscoelasticity parameters efficiently.
Segments radial color gradients into concentric layers to preserve image fidelity while avoiding solid fill path artifacts.
A method manages object relationships across multiple image capturing apparatuses by generating spatial mapping and storing connection data.
An image processing device extracts dominant colors from target objects and adds search tags to improve data visibility.
A device integrates visual and tactile detection units to acquire surface texture data while moving relative to an object.
A parametric building model adjusts descriptive parameters to match georeferenced image radiometric characteristics.
A motion detection circuit adjusts image data storage periods to lower energy usage in driving recorders.
Compresses 3D point cloud occupancy maps using patch-by-patch inspection to minimize reconstruction distortion across video codecs.
A method extracts portions from distinct video frame quarters to calculate color histograms for automatic type identification.
Segmenting original images into auxiliary segments reduces computational load and memory requirements while maintaining classification accuracy.
An iterative technique groups mated minutiae by rotation and translation parameters to identify globally aligned pairs in distorted fingerprint regions.
Image management apparatus updates master image sets based on suitability scores to optimize recognition workflows.
Automated imaging captures geometric features of arriving items to verify authenticity against known compliant references.
Onboard image analyzer extracts runway visual cues to guide aircraft without ground infrastructure, bypassing costly ILS dependency.
A matching integration unit combines local pixel data with global image context to perform feature point matching.
A cache controller predicts future view requests based on current image content data to pre-fetch anticipated views.
Service server extracts representative features from multi-camera images to reduce wireless resource consumption while maintaining 3D image quality.
Segmented optical sensors and global coordinate calibration eliminate shadow obstructions during non-contact 3D surface measurement.
A system adjusts feature point coordinates using reference objects to determine target dimensions in images.
A radiological display system overlays position marks on two-dimensional images derived from stereoscopic views.
Automated 3D depth imaging replaces manual observation to track container door status in real time across large warehouse facilities.
A filtering accelerator discards compressed data samples early by calculating an estimated upper bound of a dot product with a steering vector.
Segmented photosensor exposure eliminates multipath interference errors while maintaining high-speed 3D measurement accuracy.
A handheld scanner fuses texture images with point clouds using multiple cameras and laser projectors.
A camera and portable device system associates store coordinates with frame coordinates to determine object locations.
A failsafe pulsed laser driver limits peak current to protect VCSEL arrays from intense light emission.
A feature point matching method uses geometric line segments to align images without patch-based similarity calculations.
A determination evaluation device calculates uncertainty values to assess the reliability of machine learning classification results.
A facial recognition system compares real-time images with stored data to authenticate account holders during remote transactions.
Controller selects pre-stored color temperature and gamma values based on environmental light state to maintain accurate color reproduction across frames.
An image processing apparatus calculates gradient strength to extract closed regions and detect abnormal portions within intraluminal images.