Multi-Modal Streaming 3D Object Detection

Improving 3D perception for Object Detection, Classification and Localization using Fused Multi-modal Sensors

Object perception in 3-D is a highly challenging problem in computer vision. The major concern in these tasks involves object occlusion, different object poses, appearance and limited perception of the environment by individual sensors in terms of range measurements. In this particular project, our goal is improving 3D perception of the environment by using fusion from lidars and cameras with f...

Object detection in multi-modal images using genetic programming

In this paper, we learn to discover composite operators and features that are synthesized from combinations of primitive image processing operations for object detection. Our approach is based on genetic programming (GP). The motivation for using GP-based learning is that we hope to automate the design of object detection system by automatically synthesizing object detection procedures from pri...

Detection of breast cancer via 3D multi-modal ultrasound tomography

A Streaming Object Oriented Implementation of the Modal Distribution

The Modal distribution is a time-frequency distribution specifically designed to model the quasi-harmonic, multi-sinusoidal, nature of music signals and belongs to the Cohen general class of time-frequency distributions. A streaming, object-oriented implementation of the Modal distribution is presented which forms the basis for designing other members of the Cohen class. Implementation of this ...

Multi-modal Tracking for Object based SLAM

We present an on-line 3D visual object tracking framework for monocular cameras by incorporating spatial knowledge and uncertainty from semantic mapping along with high frequency measurements from visual odometry. Using a combination of vision and odometry that are tightly integrated we can increase the overall performance of object based tracking for semantic mapping. We present a framework fo...