Purdue Robot Vision Lab Research
 
 
Research in Wireless Camera Networks
The Purdue-Olympus A-Cubed Project
Wireless camera networks are more complex than wireless sensor networks simply because cameras generate a lot more information than simple scalar sensors and also because cameras are directional
 
Object Tracking Using a Wireless Camera Network
 
Conventional cameras networks require an infrastructure of cables and computers to transmit, store and process the information coming from the cameras. In many applications, it is undesirable, or
 
Tracking Humans with a Wired Camera Network
 
The ability of machines to detect humans and recognize their activities in an environment is an essential part of allowing a machine to interact with humans easily and efficiently. The existing
 
Distributed Online Localization of Wireless Camera-based Sensor Networks by Tracking Multiple Moving Objects
 
A typical wireless sensor network consists of a large number of sensor nodes densely deployed in the field, each equipped with wireless communication, sensing and computing capabilities with a
 
Sensor Selection Problem in Large Camera-Based Sensor Networks
 
Modern navigation, mapping and surveillance systems require numerous vision sensors to be mounted at random locations over a geographically large area. One of the most important research issues in
 
Line Tracking for Assembly-on-the-fly
 
The goal of this project is to develop a vision-guided robotic system that can operate on a moving assembly line. With full automation of work cells without stopping the assembly line, the proposed
 
3D Tracking of 3D Rigid Objects with Direct Image Alignment and Local Appearance Based Feature Matching
 
We demonstrate how by combining the notion of modular eigenspaces with multiple keyframes, an image-alignment based tracking algorithm can be made to accommodate large variations in 3D pose. Since
 
Model-Based 3D Rigid Objects Tracking
 
The goal of this work is to develop a visual object tracking system that can give accurate 3D pose -- both position and orientation in 3D Cartesian space -- of a rigid object. Our system tracks a
 
Content-Based Image Retrieval from large Medical Image Databases
 
Content-based Image Retrieval (CBIR) consists of retrieving the most visually similar images to a given query image from a database of images. CBIR from medical image databases does not aim to
 
Multimedia Database for Self-diagnosis of skin lesions
 
This project explores a novel approach to web-based self-diagnosis using multimedia databases.  In contrast with many patient-informing sites available on the internet, this project allows patients
 
Interactive Image Segmentation
 
Segmentation is an important computer vision problem. Despite intensive research for several decades, the problem stubbornly insists on being unsolved for arbitrary images. Early on, researchers
 
Computer Vision for Recognition of American Sign Language
 
This project offers a novel approach to the problem of automatic recognition, and eventually translation, of American Sign Language (ASL). We propose to take advantage of the fact that signs are
 
Robust Motion Estimation under Varying Illumination
 
The optical-flow approach has emerged as a major technique for estimating scene and object motion in image sequences. However, the problem of motion estimation, in general, is made difficult by
 
Person Following using a Vision-Guided Mobile Robot
 
Person following with a mobile robot is one of the important research topics in the machine vision area. It is believed that mobile robots of the future can follow people intelligently in the
 
Illumination Invariant Color Representation
 
The goal of this project is to develop a color space transformation technique that adapts the color space to the color of the illuminant and leads a new color representation that is more independent
 
Hierarchical Data Structure for Real-Time Background Subtraction
 
One of the drawbacks of background subtraction methods for motion detection is a slow processing time.  Consequently, real-time motion detection at 30 frames per second with an image size of 480 by
 
Segmentation of Apple Fruit from Video via Background Modeling
 
The cost of labor for orchard tasks currently accounts for over 50% of orchardists' costs.  In addition, the seasonal nature of many orchard tasks and high volume of workers needed results in a
 
3D Modeling of Optically Challenging Real-World Objects
 
One of the challenges in 3D modeling results from the fact that many real-world objects have surface materials that are not ideal for optical range sensors.  Various surface materials that cause
 
Managing Complexity of Large/Ultra Large Software System
SLIM
Today there exist many important applications in business and commerce that consist of millions of lines of code that are becoming increasingly difficult to maintain. These applications have been
 
These are the most recent research projects developed or in progress at RVL.
For a comprehensive list of all RVL projects please visit our projects archive.