Secondary marker signatures label primary markers, resolving tracking ambiguity and reducing manual processing time.
Generative adversarial network removes surgical smoke from laparoscopic images using mask segmentation and multi-level feature extraction.
A bucket information acquisition device extracts reference cross sections from three-dimensional distance distributions to calculate shape data.
A liveness detection system measures pupillary responses to randomized light stimuli for secure authentication.
Machine vision identifies weed locations to trigger localized agrochemical application, reducing crop damage and chemical waste.
A spatial positioning method adjusts projected candidate regions in calibrated images to determine object locations with sub-meter precision.
An image processing apparatus selects identification means based on candidate region characteristics to classify abnormalities in intraluminal images.
A method converts unstructured CAD data into structured graph representations using nodes and edges.
Clusters pixel feature vectors to map arterial and venous compartments, resolving the trade-off between measurement precision and real-time analysis capability.
Information processing system corrects virtual camera position data to generate desired computer-generated video output.
A camera generates digital scene images to recognize furnishing elements and determine scale based on known pixel dimensions.
A processing circuit determines overlay transparency by comparing feature point counts in base and overlaid images.
A spectral transformation matrix converts color images into spectral data for neural network air pollution estimation.
A system segments user and environment images to calculate ergonomic risk scores based on posture deviations.
A 3D structured light camera uses adaptive binarization and binary encoding compression to accelerate speckle matching while maintaining pixel-level accuracy.
Segmenting bilateral filters into spatial and range components with pre-computed radiometric distance taps reduces silicon cost while preserving image edges.
Automated analysis of medical images and clinical data reduces manual review time while maintaining diagnostic accuracy for non-human subjects.
Subspace-based correction eliminates pixel gain errors to improve target detection accuracy.
Clustering local target trajectories and applying cost-minimum path algorithms corrects cross-camera identification-switch errors caused by occlusion.
X-ray imaging system acquires contrast agent boluses to generate time-resolved volumetric images, resolving 3D flow patterns within vascular structures.
Automated system matches synthetic images from a 3D store model against camera footage to calculate ejection trajectory.
Dual generation units produce subtraction images via resolution conversion and deformation information.
Segmenting background pixels from vessel signals enables local intensity normalization, eliminating venetian blind artifacts at overlapping volume boundaries.
A computer-implemented method displays two 3D modeled objects superposed in the same scene using a user-interaction tool to control rendering variations.
A subway tunnel inspection vehicle integrates laser ranging and inertial navigation modules for automated data collection.
A detection system segments printed images into regions to calculate feature amounts and extract differential strengths for optimized processing.
A monitoring system identifies person location and height using top-down and lateral image sensors to detect fall events.