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Finding the extrema of a region
1Image Analysis Group, Department of Electrical Engineering, North Carolina State University, Raleigh, NC 27607.
IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
Summary
Finding the furthest points in an image region is computationally challenging. This study explores convex hulls, search strategies, and statistical methods to determine the most efficient approach for image analysis.
Area of Science:
- Computer Vision
- Computational Geometry
- Image Processing
Background:
- Identifying extreme points in image regions is crucial for various applications.
- The computational complexity of finding these points can be a significant challenge.
Purpose of the Study:
- To examine the computational difficulty of finding extreme points in image regions.
- To describe and compare different computational approaches for this task.
Main Methods:
- Computation of convex hulls.
- Application of sophisticated search strategies.
- Utilization of a statistical method.
Main Results:
- Analysis of the computational cost associated with each method.
- Discussion on the suitability of different methods for specific applications.
Conclusions:
- The choice of method depends on the specific application requirements.
- Understanding computational difficulty is key to selecting an efficient algorithm.
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