Gehrig et al., 2020 - Google Patents
EKLT: Asynchronous photometric feature tracking using events and framesGehrig et al., 2020
View PDF- Document ID
- 17583788639922838583
- Author
- Gehrig D
- Rebecq H
- Gallego G
- Scaramuzza D
- Publication year
- Publication venue
- International Journal of Computer Vision
External Links
Snippet
We present EKLT, a feature tracking method that leverages the complementarity of event cameras and standard cameras to track visual features with high temporal resolution. Event cameras are novel sensors that output pixel-level brightness changes, called “events”. They …
- 230000002123 temporal effect 0 abstract description 10
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10024—Color image
-
- 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
- G06T2207/20172—Image enhancement details
- G06T2207/20182—Noise reduction or smoothing in the temporal domain; Spatio-temporal filtering
-
- 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
- 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
- G06K9/00624—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
- G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N5/00—Details of television systems
- H04N5/14—Picture signal circuitry for video frequency region
- H04N5/144—Movement detection
- H04N5/145—Movement estimation
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Gehrig et al. | EKLT: Asynchronous photometric feature tracking using events and frames | |
| Zhou et al. | Event-based stereo visual odometry | |
| Kim et al. | Real-time 3D reconstruction and 6-DoF tracking with an event camera | |
| Engel et al. | Direct sparse odometry | |
| Bergmann et al. | Online photometric calibration of auto exposure video for realtime visual odometry and slam | |
| Yu et al. | 3d reconstruction from accidental motion | |
| US8073196B2 (en) | Detection and tracking of moving objects from a moving platform in presence of strong parallax | |
| Barranco et al. | Contour motion estimation for asynchronous event-driven cameras | |
| Jiao et al. | Comparing representations in tracking for event camera-based slam | |
| Seok et al. | Robust feature tracking in dvs event stream using bézier mapping | |
| Gottfried et al. | Computing range flow from multi-modal kinect data | |
| Zuo et al. | Cross-modal semidense 6-dof tracking of an event camera in challenging conditions | |
| Hamann et al. | Motion-prior contrast maximization for dense continuous-time motion estimation | |
| Ferrara et al. | Wide-angle and long-range real time pose estimation: A comparison between monocular and stereo vision systems | |
| Li et al. | Feature tracking based on line segments with the dynamic and active-pixel vision sensor (DAVIS) | |
| Dong et al. | Standard and event cameras fusion for feature tracking | |
| Wu et al. | Flytracker: Motion tracking and obstacle detection for drones using event cameras | |
| Neumann et al. | Integration of region tracking and optical flow for image motion estimation | |
| Kumar et al. | A variational approach for optical flow estimation in infra-red or thermal images | |
| Han et al. | An Object Detection Method Using Wavelet Optical Flow and Hybrid Linear‐Nonlinear Classifier | |
| Alismail | Direct Pose Estimation and Refinement. | |
| Kosheleva et al. | Edge-aware consistent stereo video depth estimation | |
| Xu et al. | Video-object segmentation and 3D-trajectory estimation for monocular video sequences | |
| Xu et al. | METS: Motion-Encoded Time-Surface for Event-Based High-Speed Pose Tracking | |
| Keshavan et al. | An adaptive observer framework for accurate feature depth estimation using an uncalibrated monocular camera |