Details Involving Processing Steps TRIZ Cases
- Dental Aligner Planning via Crown-Root Segmentation
Segmenting teeth into crown and root models allows aligner planning that accounts for bone density variations, preventing root collisions.
- 3D Mesh Reconstruction from 2D Images via Automated Depth Estimation
Automated pipeline generates interactive 3D models from standard images, resolving the trade-off between reconstruction accuracy and user input complexity.
- VR Imaging Distortion Correction via Minimum Inscribed Circle
An imaging apparatus calculates a minimum inscribed circle radius to determine an enlargement ratio for pre-distorting visual content.
- 3D Object Separation Using Multi-Camera Fusion and Calibration
Multi-camera 3D imaging systems combine spatial data to generate unified geometric models, resolving recognition accuracy trade-offs against device complexity.
- 3D Reconstruction for Listing Image Verification
Photogrammetry algorithms process smartphone images into 3D models to resolve contradictions between image quality and equipment complexity.
- Real-Time Object Digitization Using Depth Sensing Point Clouds
Depth sensing devices extract surfaces and textures from unorganized point clouds to generate dynamic three-dimensional models of physical objects.
- Volumetric 3D Reconstruction via Direction-Independent Color Minimization
A volumetric reconstruction method formulates a minimization problem using direction-independent color values to create accurate three-dimensional models.
- 3D Modeling Illumination Control for High Dynamic Range Imaging
Dynamic intensity control prevents image over-exposure by adjusting directional light sources, maintaining accurate photometric data for 3D models.
- 3D Color Imaging via Gray-Coded Light Projection
Sequential gray-coded light projection captures range and texture data to resolve spatial resolution versus acquisition speed trade-offs.
- X-ray Image Reconstruction via Shift-and-Add and Focus Stacking
Shift-and-add processing creates multiple focal planes from X-ray images, while focus stacking synthesizes a sharp 2D image that resolves scale distortions.
- Automatic VR Play Area Configuration Using Depth Sensing
A virtual reality headset maps the surrounding environment using depth sensing to construct an optimal play area boundary.
- 3D Avatar Generation from Depth and Skeletal Data
A system generates 3D avatars by combining visible spectrum images, depth maps, and skeletal outlines to capture player appearance.
- Neural Network 3D Bounding Box for Single Camera 6DoF Pose
A neural network processes single camera images to output a 3D bounding box, determining 6DoF pose without multi-sensor complexity.
- Avatar Eyeball Texture Generation via Neural Network Segmentation
Segmenting the eyeball model decouples gaze control from facial expressions, resolving accuracy trade-offs in virtual reality rendering.
- Real-Time 3D Scene Reconstruction Using Keyframe Selection
Keyframe selection and probability variance fusion enable real-time 3D reconstruction while reducing computational complexity.
- 3D Model Reconstruction from 2D Images for Adaptive Rendering
A network system generates 3D models from casual 2D images and samples geometric data based on user device characteristics.
- Intraoral 3D Scanner Angular Color Vector Shade Matching
An intraoral scanner uses BRDF to map angular color distributions for precise shade matching, eliminating human error in visual comparisons.