Neural network reconstructs non-rigid object geometry from unlabeled video via temporal consistency, avoiding manual 3D annotation requirements.
Aerial image generating apparatus projects 3D point clouds onto a plane to extract road surface data.
Visual feedback from inertial sensors directs camera movement during object scanning to resolve manual operation complexity and improve detection accuracy.
Warp existing 3D models using camera projection matrices to generate derived object structures.
A method selects overlapping digital images to construct a three-dimensional scene model efficiently.
A 3D space generator creates a virtual environment to estimate relative positions between objects and generate contact information.
A parametric deformable model generates personalized 3D avatar meshes from single depth camera images by aligning template structures to detected anatomical landmarks.
A hierarchical feature extractor merges geometric and semantic data to estimate precise vehicle correspondences across multiple camera views.
A system generates paired 2D image frames and 3D models for neural network training.
A device projects an adjusted three-dimensional tooth model onto a face video to simulate post-treatment results.
A segmented motorized apparatus navigates obstacles within a wind turbine blade cavity to capture 360-degree images, eliminating hazardous manual entry.
A 3D model image display apparatus retrieves captured images matching specified coordinates using priority levels.
Triangulation of facial markers from dual perspectives resolves the trade-off between high measurement precision and heavy rigging complexity.
A computational model maps linguistic descriptors to geometric body spaces for intuitive avatar creation.
A joint optimizer concurrently processes supervised, unsupervised, and weakly supervised losses within a unified training framework.