Three-dimensional reconstruction in computer vision encompasses a diverse array of methods for recovering the shape, appearance and spatial arrangement of objects or scenes from two-dimensional inputs ...

Three-dimensional voxel reconstruction based on stereo vision is essential for environmental perception in autonomous robots. Existing pseudo-LiDAR methods recover voxel grids by estimating depth maps ...

A new method significantly advances 3D imaging of reflective surfaces. The approach integrates techniques known from high-precision optical 3D metrology and computer vision, and could benefit ...

As object identification and three-dimensional (3D) reconstruction techniques become essential in various reverse engineering, artificial intelligence, medical diagnosis, and industrial production ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

The team pairs deflectometry with advanced computational methods typically used in computer vision research. The resulting research track, which Willomitzer calls "computational deflectometry," ...

The IEEE Computer Society (CS) and the Computer Vision Foundation (CVF) announced the award-winning papers from the 2026 Conference on Computer Vision and Pattern Recognition (CVPR), recognizing ...

Start working toward program admission and requirements right away. Work you complete in the non-credit experience will transfer to the for-credit experience when you ...