Spatial-Importance-Based Computation Scheme for Real-Time Object Detection From 3D Sensor Data

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

Depth-assisted Real-time 3D Object Detection for Augmented Reality

In this paper, we propose a novel method of real-time object detection that can recognize three-dimensional (3D) target objects, regardless of their texture and lighting condition changes. Our method computes a set of reference templates of a target object from both RGB and depth images, which describes the texture and geometry of the object, and fuses them for robust detection. Combining both ...

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...

Complex-YOLO: Real-time 3D Object Detection on Point Clouds

Lidar based 3D object detection is inevitable for autonomous driving, because it directly links to environmental understanding and therefore builds the base for prediction and motion planning. The capacity of inferencing highly sparse 3D data in real-time is an ill-posed problem for lots of other application areas besides automated vehicles, e.g. augmented reality, personal robotics or industri...

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...