Three-Dimensional Object Recognition TRIZ Cases
- 3D Vehicle Reconstruction from Single Camera Rectangles
Segmenting detection into stages and inferring depth from side orientations reduces sensor complexity while maintaining measurement precision.
- 3D Object Detection Multi-Resolution Feature Recovery
A 3D object detection network recovers discarded early-layer features using panoptic segmentation predictions to augment late-stage processing.
- Autonomous Parking Stop Position Detection Using Inverted Edge Line Analysis
An image processing device identifies horizontal edge lines to detect three-dimensional indication bodies for autonomous parking.
- 3D Object Detection Using Sparse Point Cloud Frustum Extraction
A 3D frustum extraction method processes sparse point cloud data directly to perform object classification and segmentation.
- Vehicle Occupant Counting Using Depth Image Segmentation
A vehicle occupant count monitoring system combines facial and upper half-body recognition from depth images to determine passenger numbers.
- Planogram Extraction via Image Analysis for Retail Inventory
Automated image analysis extracts planograms from shelf photos, resolving labor-intensive manual auditing bottlenecks in retail inventory management.