2016-071 – Feature-based 3D Head Tracking

A set of point features is registered and updated for each reference pose serving a multi-view head detector. Since tracking-by-detection approach is used in our method, the proposed tracker utilizes view-based model more efficiently than previous view-based model approaches. The view-based feature point registration rectifies error accumulation and provides fast recovery after occlusion has ended, […]

2016-055 – bgpuma

bgpuma is a program for searching BGTP update files created by MRT or Zebra/Quagga for CIDR blocks and/or Autonomous Systems. Given a list of CIDR blocks it looks for those CIDR blocks which match the list, contained in the list or contained by the list. For Autonomous Systems it looks for routes announced by the […]

2016-054 – Graph Algorithms from Linear Algebra (GALA) Library

This is a design and implementation of a library of graph algorithms for heterogeneous high-performance compute (HHPC) architectures that contain GPU processing units in addition to general purpose CPU’s. While the highest performing implementations of these algorithms are complex and intimately tied to the underlying architecture, the objective of this library is to make high-performance […]

2016-026 – ERACES Architecture Abstraction Plugin

The invention provides the ability to analyze architecture models – specifically in AADL and find bad architecture/design patterns. The tool produces a report that suggests how designers can improve the architecture. Raymond Taylor rtaylor@andrew.cmu.edu 412-268-2000

2016-012 – Method for Monocular Estimation of Retinal Surface

This invention is a new method that estimates a planar surface utilizing the automatic scanning of a handheld micromanipulator, Micron, and the geometric analysis of projected beam patterns, in order to address erroneous stereo-reconstruction in the complex eye model. Therefore, this approach can overcome problems in visual servoing in the eye, such as unreliable detection […]

2015-471 – Constrained-CNN for 3D Scene Understanding

In the past years Convolutional Neural Networks (CNNs) have shown incredible promise in learning visual representations. In this work, we use CNN for the task of surface normal estimation. We propose to build upon decades of hard work in 3D Scene Understanding to design new architecure for surface normal estimation. Our architecure incorporates several constraints […]

2015-467 – ROCK : Robust Object Constellation for Kinematic Pose

ROCK is a computer program designed to detect rigid objects in color and depth images and estimate their pose relative to a fixed camera. Applications include robotic perception and state estimation. Central to this work is a 3D model of visual appearance that is used to rapidly evaluate candidate object poses. Some experiments have shown […]

2015-466 – Force-Sensing Motorized Micro-Forceps and Methods of Use in Microsurgery

This invention describes a specific embodiment for providing firm grasping capabilities to handheld devices, teleoperated and/or cooperatively controlled robots, enabling a new assistance method, and thus providing safer and easier tissue manipulation during microsurgery tasks. Microsurgery routinely requires the manipulation of extremely delicate tissues by various micron scale maneuvers and the application of very small […]

2015-432 – Tomo: Wearable, Low-Cost Electrical Impedance Tomography for Non-Invasive Gesture Recognition

The system described herein provides a small, low- powered and low-cost ElT sensor that could be integrated into wearable devices, such as but not limited to smartwatches. This ability to non-invasively look inside a user’s body presents interesting application possibilities. For example, muscles change their cross-sectional shape and impedance distribution when flexed. Therefore, in one […]

2015-431 – Sonar Cam

sonar_cam is an open-source tool for generating 3D audio from point clouds and depth images. It is intended to be used as a reference for blind-assistance technologies which convert depth data into sound.Unlike existing assistive technologies, which either use very sparse representations of the 3D data, try to fit a crude semantic model to the […]