Training for Task Specific Keypoint Detection
Proceedings of the 31st DAGM Symposium on Pattern Recognition
Recognizing places using spectrally clustered local matches
Robotics and Autonomous Systems
Fundamenta Informaticae - Swarm Intelligence
Adaptive and generic corner detection based on the accelerated segment test
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
EURASIP Journal on Advances in Signal Processing
Real-time robust image feature description and matching
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
Wide-area augmented reality using camera tracking and mapping in multiple regions
Computer Vision and Image Understanding
Identifying potentially cancerous tissues in chromoendoscopy images
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Content adaptive image matching by color-entropy segmentation and inpainting
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Scale- and rotation-robust genetic programming-based corner detectors
EvoApplicatons'10 Proceedings of the 2010 international conference on Applications of Evolutionary Computation - Volume Part I
Anatomical feature-guided mutual information registration of multimodal prostate MRI
MICCAI'11 Proceedings of the Third international conference on Abdominal Imaging: computational and Clinical Applications
A robust image retrieval system for mobile guide applications
International Journal of Intelligent Systems
Fundamenta Informaticae - Swarm Intelligence
Cooking gesture recognition using local feature and depth image
Proceedings of the ACM multimedia 2012 workshop on Multimedia for cooking and eating activities
Accelerating SURF detector on mobile devices
Proceedings of the 20th ACM international conference on Multimedia
Ultra-fast tracking based on zero-shift points
Image and Vision Computing
Learning to efficiently detect repeatable interest points in depth data
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Efficient discriminative projections for compact binary descriptors
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Detecting and reconstructing 3d mirror symmetric objects
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Comparative evaluation of binary features
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Evaluation of feature detectors for registering aerial images
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
Multiscale Corner Detection in Planar Shapes
Journal of Mathematical Imaging and Vision
A Performance Evaluation of Volumetric 3D Interest Point Detectors
International Journal of Computer Vision
Alternative search techniques for face detection using location estimation and binary features
Computer Vision and Image Understanding
Multiple 3D object position estimation and tracking using double filtering on multi-core processor
Multimedia Tools and Applications
Quasi-regular facade structure extraction
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part IV
Enabling fine-grained OpenMP tasking on tightly-coupled shared memory clusters
Proceedings of the Conference on Design, Automation and Test in Europe
Improving the programmability of STHORM-based heterogeneous systems with offload-enabled OpenMP
Proceedings of the First International Workshop on Many-core Embedded Systems
Image search—from thousands to billions in 20 years
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) - Special Sections on the 20th Anniversary of ACM International Conference on Multimedia, Best Papers of ACM Multimedia 2012
Geometric particle swarm optimization for robust visual ego-motion estimation via particle filtering
Image and Vision Computing
SIFER: Scale-Invariant Feature Detector with Error Resilience
International Journal of Computer Vision
Comparison of two paradigms for image analysis in visual sensor networks
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
Probabilistic cue integration for real-time object pose tracking
ICVS'13 Proceedings of the 9th international conference on Computer Vision Systems
Experience-based navigation for long-term localisation
International Journal of Robotics Research
Accurate Junction Detection and Characterization in Natural Images
International Journal of Computer Vision
A new descriptor resistant to affine transformation and monotonic intensity change
Computer Vision and Image Understanding
Color Fourier-Mellin descriptors for image recognition
Pattern Recognition Letters
Hi-index | 0.16 |
The repeatability and efficiency of a corner detector determines how likely it is to be useful in a real-world application. The repeatability is important because the same scene viewed from different positions should yield features which correspond to the same real-world 3D locations [1]. The efficiency is important because this determines whether the detector combined with further processing can operate at frame rate. Three advances are described in this paper. First, we present a new heuristic for feature detection and, using machine learning, we derive a feature detector from this which can fully process live PAL video using less than 5 percent of the available processing time. By comparison, most other detectors cannot even operate at frame rate (Harris detector 115 percent, SIFT 195 percent). Second, we generalize the detector, allowing it to be optimized for repeatability, with little loss of efficiency. Third, we carry out a rigorous comparison of corner detectors based on the above repeatability criterion applied to 3D scenes. We show that, despite being principally constructed for speed, on these stringent tests, our heuristic detector significantly outperforms existing feature detectors. Finally, the comparison demonstrates that using machine learning produces significant improvements in repeatability, yielding a detector that is both very fast and of very high quality.