Emanuel E. Zelniker

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This paper examines the well-known problem of line detection, but where the lines are wider than one pixel. The motivation behind the paper is the extraction of road information from high resolution photogrammetry and Light Detection and Ranging (LIDAR) data. Wide lines cause varying problems during detection. The HOUGH or RADON transform approaches do not(More)
In this paper, we examine the problem of fitting a hypersphere to a set of noisy measurements of points on its surface. Our work generalises an estimator of DELOGNE (Proc. IMEKO-Symp. Microwave Measurements 1972, 117-123) which he proposed for circles and which has been shown by Kåsa (IEEE Trans. Instrum. Meas. 25, 1976, 8-14) to be convenient for its ease(More)
The accurate fitting of a circle to noisy measurements of points on its circumference is an important and much-studied problem in statistics. ATHERTON & KERBYSON (Image and Vision Computing 17, 1999, 795-803) have proposed a complex convolutional circle parameter estimator. One of the estimators proposed is a `Phase-Coded Annulus' to estimate for the(More)
In the subcortex of the human brain, neuronal firing events are stochastic and the inter-arrival times of action potentials (APs) are highly irregular. It has been shown that stimulation of the subthalamic nucleus (STN), a small subcortical structure located within the basal ganglia, can help ameliorate the motor symptoms associated with Parkinson's disease(More)
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