WiMi's 3D object recognition system based on multi-view feature fusion consists of three main parts: viewpoint information selection, feature extraction, and feature fusion.

Google Research announced the release of Objectron, a machine-learning dataset for 3D object recognition. The dataset contains 15k video segments and 4M images with ground-truth annotations, along ...

4. State-of-the-art in 3D object detection could be improved through sensor fusion of LiDAR and pseudo-LiDAR. Pseudo-LiDAR has the advantage that its signal is much denser than LiDAR and the two data ...

However, depth-sensing 3D cameras can provide real-time updates that increase counting accuracy by an estimated 5% to 8%, according to a spokesperson for one 3D company I spoke with, Orbbec.

These mirrorless cars are likely to use object-recognition systems to alert drivers to dangerous situations by detecting and identifying objects in the live video captured with their on-board cameras.

One of the new macOS 12 API is "Object Capture," which will let users easily create 3D models of any object using the iPhone camera.