Image and Object Detection Techniques
Image and Object Detection Techniques is a research topic within Computer Vision and Pattern Recognition. Science Explorer counts 22k research works in it since 1951. 9.8% of them reached the world's top 10% most cited for their field and year.
This cluster of papers focuses on robust line and curve detection using the Hough Transform, including techniques for line detection, circle and ellipse fitting, randomized algorithms, computer vision applications, edge detection, geometric fitting, and statistical optimization.
- Hough Transform
- Line Detection
- Circle Fitting
- Ellipse Detection
- Randomized Algorithm
- Computer Vision
- Edge Detection
- Geometric Fitting
- Real-time Detection
- Statistical Optimization
- Research works
- 22k fractional, since 1951
- In the world top 10%
- 2.2k per year above
- Top-10% rate
- 9.8% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +16% the tick is no change
- Largest producer
China
66% of the 10 largest, 2022-now
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