Details Involving Processing Steps TRIZ Cases

Segmenting teeth into crown and root models allows aligner planning that accounts for bone density variations, preventing root collisions.

Automated pipeline generates interactive 3D models from standard images, resolving the trade-off between reconstruction accuracy and user input complexity.

An imaging apparatus calculates a minimum inscribed circle radius to determine an enlargement ratio for pre-distorting visual content.

Multi-camera 3D imaging systems combine spatial data to generate unified geometric models, resolving recognition accuracy trade-offs against device complexity.

Photogrammetry algorithms process smartphone images into 3D models to resolve contradictions between image quality and equipment complexity.

Depth sensing devices extract surfaces and textures from unorganized point clouds to generate dynamic three-dimensional models of physical objects.

A volumetric reconstruction method formulates a minimization problem using direction-independent color values to create accurate three-dimensional models.

Dynamic intensity control prevents image over-exposure by adjusting directional light sources, maintaining accurate photometric data for 3D models.

Sequential gray-coded light projection captures range and texture data to resolve spatial resolution versus acquisition speed trade-offs.

Shift-and-add processing creates multiple focal planes from X-ray images, while focus stacking synthesizes a sharp 2D image that resolves scale distortions.

A virtual reality headset maps the surrounding environment using depth sensing to construct an optimal play area boundary.

A system generates 3D avatars by combining visible spectrum images, depth maps, and skeletal outlines to capture player appearance.

A neural network processes single camera images to output a 3D bounding box, determining 6DoF pose without multi-sensor complexity.

Segmenting the eyeball model decouples gaze control from facial expressions, resolving accuracy trade-offs in virtual reality rendering.

Keyframe selection and probability variance fusion enable real-time 3D reconstruction while reducing computational complexity.

A network system generates 3D models from casual 2D images and samples geometric data based on user device characteristics.

An intraoral scanner uses BRDF to map angular color distributions for precise shade matching, eliminating human error in visual comparisons.

Optical sensors build a 3D map to detect roof boxes, enabling accurate parking guidance despite vertical constraints.

A photometric optimization system generates accurate 3D object models by jointly refining camera parameters and structure geometry.

A UAV-based system generates virtual 3D models of incident sites using aerial photography and photogrammetry.

Smartphone lidar and panoramic imaging generate accurate 3D surface reconstructions, eliminating the need for expensive specialized scanning hardware.

Superimposing virtual bone models with implant data defines precise resection guides, reducing manual planning time and improving alignment accuracy.

Extraction information calculator generates measurement data from geometry changes in medical images.

A volumetric reconstruction method generates occupancy data to estimate target object pose using pointwise feature data.

Automated image processing builds a 3D vehicle model from mobile photos to identify damage, replacing time-consuming manual inspections.

Predefined processing templates automate voxel identification and geometric generation, eliminating manual operator intervention during complex data conversion.

Structured light depth cameras create precise 3D body models to resolve virtual fitting inaccuracies caused by incomplete prior data.

Scanning system generates high-resolution 3D product models using depth sensors and image capture devices.

GREX system isolates breathing motion from cardiac noise to improve measurement precision.

Computes new scanning views based on analyzed point cloud quality to update data in real time, resolving noise and incomplete coverage issues.

Light sensors detect laser beams to establish initial camera pose, enabling accurate 3D model reconstruction from depth data.

Estimates camera motion using image registration to build a dense three-dimensional model, eliminating manual measurements or known objects.

Adjusting quantization precision by viewpoint proximity reduces perceivable artifacts near the camera while minimizing memory usage for decoded scenes.

A reconfigurable hardware watermark decoder uses parameterizable modules and ASIPs to adapt decoding algorithms across diverse applications.

A sensor system determines physical properties of volumetric substances to render accurate virtual representations in a virtual reality environment.

Multi-view RGB images generate 3D scene representations to resolve the trade-off between improved obstacle avoidance accuracy and increased computational time.

A method extracts image target areas and applies user content via templates to create augmented reality assets.

Remote monitoring method fuses multi-source sensor data with virtual reality to create interactive 3D scenes for marine engine rooms.

A system generates virtual 3D implants and fabricates custom devices on-site using additive manufacturing.

An FPGA module preprocesses raw image data into feature vectors within the scanning head.

A predictive system interprets control object motion in three-dimensional space using image analysis without attached sensors.

Pre-trained neural networks reconstruct precise 3D dental arches from standard 2D photos, eliminating specialized intraoral scanning equipment.

Mapping standing X-ray contours to non-weight-bearing CT scans corrects bone pose estimation errors caused by ignoring load conditions.

A single smartphone captures video data guided by augmented reality to drive a deformable implicit neural radiance field for human body modeling.

A processor assigns voxel attributes to polygon mesh data during 3D conversion.

A wearable design apparatus detects user body position to compute pattern data from virtual object intersections.

Sensors generate a digital facility model to eliminate travel time while maintaining measurement precision.

A system generates graphic models of geographic objects from images using scale-invariant feature transforms.

A self-supervised neural network reconstructs 3D mesh shapes and textures from single-view images using semantic consistency.