Image Analysis TRIZ Cases

An image matching apparatus reassigns depth candidate values for pixels based on adjacent pixel data to determine optimal depth.

Principal component analysis in a sample space selects features with minimal distortion, reducing dimensionality while maintaining high analysis accuracy.

Overlay digital markups on layout images to replicate complex deformations, eliminating the need for multiple physical prototypes.

Eliminates manual calibration delays by continuously estimating sensor and camera correspondence through background parallax observation.

A processor generates space models from grid map data to recognize autonomous robot positions using range scans.

A positioning image collection unit estimates weight distribution to calculate top board sagging for precise alignment adjustment.

Computing device determines object depth using rear camera size changes and front stereo camera distance data.

A visible light camera captures palm reflection images to extract vein patterns and print shapes for authentication data generation.

A GPU converts point primitives into patch primitives to render heat maps, shifting intensive shading operations away from the central processing unit.

Electro-optic beam steering replaces mechanical parts to improve field of view and accuracy while reducing vibration sensitivity.

Statistical distance ratio analysis replaces iterative RANSAC with histogram goodness-of-fit tests to reduce processing time and data volume.

A pixel outlier detection method calculates Euclidean distances within 3x3 patches to identify singleton and paired noise pixels.

Grouping adjacent pixels into non-intersecting sets creates virtual interpolation points that replace complex bicubic calculations with simpler bilinear steps.

Guide image discontinuities segment interpolation regions, preserving edges and gaps lost in standard sparse reconstruction.

Image segmentation techniques enable dynamic selection of augmented reality objects based on contextual cues, improving integration precision.

A learning data generating system replaces parts of feature maps to preserve texture information without weighted addition.

Processing apparatus extracts person-object events to generate time-series data for causal scoring.

A computer-implemented method tracks geological contours in 3D seismic data using adaptive candidate path selection and optimization algorithms.

A mathematical education engine processes video streams to identify objects of interest and overlay personalized geometric shapes.

A virtual reality image adjustment method converts device coordinates into a virtual space and perspectively projects objects onto a display screen.

A shape measuring device adjusts the focal position of a light receiving section to capture stereoscopic data across varying surface heights.

A projection system adjusts dimming correction characteristics based on measured luminance to ensure uniform synthesized brightness in overlap regions.

Differential interference contrast imaging captures surface gradients directly, reducing computational load and work memory requirements for faster measurement.

Automate data annotation and train collective model variables to resolve the contradiction between adaptability and time loss.

A projection system uses identification patterns to automatically align and resize display images.

Extracting natural fin ray patterns eliminates invasive labeling damage while maintaining reliable individual zebrafish identification.

Authentication system redirects failed logins to a dummy environment, preventing unauthorized access when biometric verification fails.

A multiple-scale dot pattern merges small dots into larger structures to measure displacements at different scales without separate tests.

A set-top box uses automatic content recognition to deliver targeted advertisements based on individual user profiles.

Edge orientation sensitive feature sets guide trained classifiers to localize barcodes, reducing processing time on devices with limited capacity.

A plenoptic camera system projects changing structured images to acquire synchronized image sequences for depth determination.

An apparatus specifies object regions and evaluates division status to decide output targets.

An augmented reality system displays account information over an indicialess card background pattern to eliminate visible data exposure and reduce fraud risk.

A photoelectric conversion device uses distinct comparator slew rates to sequence analog-to-digital conversion for optical black and effective pixels.

Synchronizes UAV laser scanning with image capture to generate precise three-dimensional ground surface data.

A camera system detects head-mounted display position to overlay guard rails in the virtual scene.

A dynamic lighting apparatus plots a virtual projection from an occupant's gaze to control illumination sources.

Aligns sensor and synthetic images by calculating displacement between extracted gradients, resolving misalignment in low visibility conditions.

A convolutional neural network processes image data using quantized weights and parallel node architecture for efficient target recognition.

Adapting the region of interest to cervix canal shapes resolves measurement precision trade-offs by enabling accurate elasticity information acquisition.

A teaching data correction device updates object area annotations using identification results from a learned output machine.

A machine learning model trained on verified and fake video feature values detects liveness indicators, blocking unauthorized access via life-size pictures.

A video processing system executes multiple enhancement subtasks across concurrent threads to optimize resource utilization.

A method evaluates spline stiffness parameters via normalized dot products to convert sampled input curves into smooth spline patches.

Feature recognition algorithms calculate depth perspective from single camera images to replace multiple sensors and reduce hardware complexity.

A monocular camera captures sequential vehicle images to generate height profiles via optical flow analysis.

Synchronized virtual objects traverse multiple displays via intermediary links, resolving data transfer bottlenecks while preserving content consistency.

A total station system computes offset angles using slope distances and pixelated image sensors to align optical aiming points with target centers.

Multi-purpose time-to-digital converters combine intensity and depth measurements in single pixels, eliminating alignment errors from separate sensors.

A vehicle surroundings detection system projects a light pattern and processes image data to ascertain operating parameters for the image recording unit.