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Found 8 papers, 0 papers with code
A Generic Framework for Assessing the Performance Bounds of Image Feature Detectors
Since local feature detection has been one of the most active research areas in computer vision during the last decade, a large number of detectors have been proposed.
Sensor Fusion of Camera, GPS and IMU using Fuzzy Adaptive Multiple Motion Models
A tracking system that will be used for Augmented Reality (AR) applications has two main requirements: accuracy and frame rate.
Integral Images: Efficient Algorithms for Their Computation and Storage in Resource-Constrained Embedded Vision Systems
Addressing the storage problem of integral image in embedded vision systems, the paper presents two algorithms which allow substantial decrease (at least 44. 44%) in the memory requirements.
Assessing The Performance Bounds Of Local Feature Detectors: Taking Inspiration From Electronics Design Practices
Since local feature detection has been one of the most active research areas in computer vision, a large number of detectors have been proposed.
Rapid Online Analysis of Local Feature Detectors and Their Complementarity
Different detector pairs and triplets are examined quantitatively and the results provide a useful guideline for combining detectors in applications that require a reasonable spatial distribution of image features.
Memory-Efficient Design Strategy for a Parallel Embedded Integral Image Computation Engine
In embedded vision systems, parallel computation of the integral image presents several design challenges in terms of hardware resources, speed and power consumption.
Hardware based Scale- and Rotation-Invariant Feature Extraction: A Retrospective Analysis and Future Directions
Scale- and rotation-invariant local feature extraction is a low level computer vision task with very high computational complexity.
Improved repeatability measures for evaluating performance of feature detectors
The most frequently employed measure for performance characterisation of local feature detectors is repeatability, but it has been observed that this does not necessarily mirror actual performance.
