Krajnık et al., 2013 - Google Patents
Image features for long-term mobile robot autonomyKrajnık et al., 2013
View PDF- Document ID
- 17270110319256589160
- Author
- Krajnık T
- Cristóforis P
- Preucil L
- Mejail M
- Publication year
- Publication venue
- ICRA 2013, Workshop on Long-Term Autonomy
External Links
Snippet
In this paper, we present an evaluation of standard feature descriptors in a scenario of outdoor vision-based longterm autonomous navigation. Although benchmarks of visual features can be found in computer vision literature, we propose an evaluation focused on …
- 238000011156 evaluation 0 abstract description 12
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/20—Image acquisition
- G06K9/32—Aligning or centering of the image pick-up or image-field
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00288—Classification, e.g. identification
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30244—Information retrieval; Database structures therefor; File system structures therefor in image databases
- G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20112—Image segmentation details
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30781—Information retrieval; Database structures therefor; File system structures therefor of video data
- G06F17/30784—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre
- G06F17/30799—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Tang et al. | A textured object recognition pipeline for color and depth image data | |
| Hodan et al. | Bop: Benchmark for 6d object pose estimation | |
| Aubry et al. | Painting-to-3D model alignment via discriminative visual elements | |
| Tareen et al. | A comparative analysis of sift, surf, kaze, akaze, orb, and brisk | |
| Rad et al. | Bb8: A scalable, accurate, robust to partial occlusion method for predicting the 3d poses of challenging objects without using depth | |
| Zeng et al. | 3dmatch: Learning the matching of local 3d geometry in range scans | |
| Buch et al. | Pose estimation using local structure-specific shape and appearance context | |
| Piccinini et al. | Real-time object detection and localization with SIFT-based clustering | |
| Furrer et al. | Incremental object database: Building 3D models from multiple partial observations | |
| Urban et al. | Finding a good feature detector-descriptor combination for the 2D keypoint-based registration of TLS point clouds | |
| Krajník et al. | Image features and seasons revisited | |
| Son et al. | A multi-vision sensor-based fast localization system with image matching for challenging outdoor environments | |
| Rogers et al. | Simultaneous localization and mapping with learned object recognition and semantic data association | |
| Markiewicz et al. | The evaluation of hand-crafted and learned-based features in Terrestrial Laser Scanning-Structure-from-Motion (TLS-SfM) indoor point cloud registration: the case study of cultural heritage objects and public interiors | |
| Schmid et al. | Features for Ground Texture Based Localization--A Survey | |
| Ekekrantz et al. | Adaptive iterative closest keypoint | |
| Strecha et al. | Training for task specific keypoint detection | |
| Sadeghi et al. | Ocrapose: An indoor positioning system using smartphone/tablet cameras and OCR-aided stereo feature matching | |
| Krajnık et al. | Image features for long-term mobile robot autonomy | |
| Hodan et al. | Efficient texture-less object detection for augmented reality guidance | |
| Mao et al. | Patch-based object tracking using corner and color with partial occlusion handling | |
| Anderson et al. | Robot localisation using natural landmarks | |
| Zhu et al. | Comparison of local visual feature detectors and descriptors for the registration of 3D building scenes | |
| Faigl et al. | Image Features for Long-Term Mobile Robot Autonomy | |
| Piccinini et al. | SIFT-based segmentation of multiple instances of low-textured objects |