2217 Wiltshire Road
Kearneysville, WV 25430
Voice: (304) 725-3451 x386
Professional Biographical Information:
PhD Purdue University, Electrical and Computer Engineering 2014
M.S. Purdue University, Electrical and Computer Engineering 2012
M.A. Duke University, Music 2003
B.A. Sweet Briar College. Double major in Mathematics/Computer Science and Music. 2001
My scientific training is in the field of computer vision and my research is primarily concerned with two applications: robotic pruning of fruit trees, and automated structural phenotyping of fruit trees.
In order to accomplish the two applications stated above, reliable shape information of trees is needed. This is a challenging problem for many reasons, including the outdoor imaging environment, small diameter of tree branches, wind, lack of texture of the tree branches, possible camera calibration error, and lack of prior shape information.
To take into account all of these sources of error, a shape from inconsistent silhouette method was developed for tree reconstruction using multiple images of a tree. My current and future work is to continue developing a system to extract reconstructions of trees using digital cameras and a mobile robotic platform. Included in this future work is the extraction of various features of interest, such as branch location, diameter, length, and angle.
Source code (in C/C++) to accompany our IROS 2015 paper on Robot-World, Hand-Eye Calibration
Dry Bin Filler
For best results, use Windows Media Player to view the videos.
The videos are 5 minutes in length.
AFRS dry bin filler, 25 MB (WMV - Medium Quality)
AFRS dry bin filler, 100 MB (WMV - High Quality)