Real-time 3D object proposal generation and classification using limited processing resources

Detection of Congenital Mullerian Anomalies Using Real-Time 3D Sonography

Real-Time 3D Object Tracking

The conventional wisdom in artificial intelligence, and particularly in computer vision, is that large volumes of input data should be converted into a more compact symbolic form by a process of segmentation. The difficulty of performing a satisfactory segmentation of image data (except under the most artificial of conditions) has caused the greatest problem in implementing useful vision system...

Joint 3D Proposal Generation and Object Detection from View Aggregation

We present AVOD, an Aggregate View Object Detection network for autonomous driving scenarios. The proposed neural network architecture uses LIDAR point clouds and RGB images to generate features that are shared by two subnetworks: a region proposal network (RPN) and a second stage detector network. The proposed RPN uses a novel architecture capable of performing multimodal feature fusion to gen...

Real Time Object Detection and 3D Modeling Using Fuzzy Logic

This paper OD3DM (Object detection and 3D modeling) mainly discussed the process to detect complex geometric objects and thereafter performing 3D modeling of geometric objects using Entropy based selection of optimum transformation of input data, wavelet based transformation and fuzzy logictechniques for designing and training of object recognition systems using realistic 3D computer graphics m...

3d Modeling of Real Artistic Objects with Limited Computers Resources

Modeling real life objects, although at reach of current technology, is confined to a niche of sophisticated industrial applications because the high equipment costs involved. The costs of 3D imaging devices are substantially coming down, furthermore 3D modeling, within certain object complexities, is becoming feasible with limited (and inexpensive) computer resources. This work reports on mode...