A 3D augmented reality marker enables computing devices to determine location via camera detection without wireless network connectivity.
Surface normal predictions guide unsupervised disparity estimation, resolving accuracy loss in textureless regions without ground truth data.
A dimensioning system uses interleaved image capture to generate three-dimensional object representations.
Spatially varying parameters adapt to local image characteristics, resolving rigid model inaccuracies in carotid plaque detection.
Motion vector correction circuit stabilizes interpolation frames by detecting occlusion areas and adjusting vectors across multiple original frames.
An image processing apparatus determines two-dimensional code foreground and background colors based on acquired region color information.
Automated ultrasound imaging system processes 2D scans into 3D models to quantify scar tissue volume and assess tendon healing status.
Optical markers bridge relative localization gaps by enabling absolute coordinate coupling through a shared light sensor.
Difference image generating unit calculates X-ray transmission differences to analyze myocardial tissue movement.
Automated video inspection system detects measurable object features and positions measurement markers on displayed images.
Real-time image transformations correct physical eyepiece deformation in head-mounted displays, resolving binocular misalignment and user discomfort.
Analyzes object regions and environmental context to correct image orientation without relying on specific orientation-sensitive features.
Low resolution optical alignment guides e-beam scans to measure critical dimensions for entire wafer uniformity monitoring.
A processing device generates a blurring image through block interpolation and weighted sums to enhance contrast.
A luminance correction circuit multiplies sequential video frames by individual weight coefficients and averages results to generate a corrected signal.
Distance-based pixel adjustment corrects purple-fringe artifacts by adapting to complex exposure boundaries.
A pose determining method calculates camera orientation using a selected two-dimensional plane point in a video frame.
Incremental learning updates classification models as new data arrives, resolving the contradiction between static accuracy and adaptability to new classes.
Machine learning model classifies packaging container defects using captured image data for rapid quality control.
A repeat object blending system converts visual characteristics into spline representations for accurate interpolation.
A medical image analysis system positions query images within a hierarchical lesion data structure to generate diagnostic analytics.
Segmenting signal charges into distinct capacitors resolves the contradiction between floating diffusion reuse efficiency and reading accuracy.
Partial image histograms determine adjustment values to correct color unevenness without complex image segmentation.
Sinusoidal light modulation enables fraud detection and identity recognition without additional impedance hardware, reducing device complexity.
A sensor processor estimates vehicle orientation using surface and marker signals for precise spatial tracking.
A computing device displays a virtual perspective view to guide users into optimal positions for capturing facial image data.
A handheld device captures images and laser distances to calculate a scaled three-dimensional geometry of target objects.
An immersive monitoring system captures real-time scene data to generate quality management events via voice or gesture inputs.
A device selects combinations of threshold matrices to determine dot sizes based on code values for optimized halftone processing.
A method processes raw microscopic images using smoothing and high-pass filtering to enhance spatial frequency.
A mobile robot constructs a map with defined private areas to shield captured video content from unauthorized viewing.
Convolutional neural networks detect and track surgical tools, gauzes, bleeding regions, and smoke in real-time video streams.
Level set optimization refines signed distance maps to resolve non-homogeneous control point distribution and eliminate boundary overlaps or gaps.
A processing system creates a point cloud of the structure to identify radio locations and determine maximum transmit power.
Gabor filters process original and printed signals to quantify clarity variations across diverse surface materials.
A reference image generating apparatus automatically determines inspection validity based on paper type information.
Replacing prism targets with AprilTags reduces false positives and speeds up re-sectioning through machine learning identification.
Segments alignment into coarse Fourier transform and fine feature point stages to resolve rotation estimation accuracy limits while maintaining high throughput.
Automated 3D tracking with machine learning detects social behaviors, replacing manual scoring to improve analysis throughput and accuracy.
A mobile terminal fuses color and depth camera data to generate animated 3D models from static objects.
FPGA generates texture maps from compressed image streams to determine the bus centroid, enabling accurate docking with unknown spacecraft structures.
Determines a repeatable fluorescent imaging height using an exposed workpiece portion to acquire focused images of features within solder resist.
Neural network estimates Zernike coefficients to compensate wrapped phase aberrations, preventing fringe dislocations and improving measurement precision.
A method aligns digital images by matching feature point locations without relying on descriptors.
A camera automatic calibration method updates parameters using gradient descent to maintain optical motion capture system accuracy.
A radiation image processing device calculates feature amounts to determine target densities for gradation processing.
Synchronizes intravascular ultrasound data acquisition with heartbeat phases to capture blood vessel images during uniform states.