Azad et al., 2007 - Google Patents
Stereo-based 6d object localization for grasping with humanoid robot systemsAzad et al., 2007
View PDF- Document ID
- 16323159434978046040
- Author
- Azad P
- Asfour T
- Dillmann R
- Publication year
- Publication venue
- 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems
External Links
Snippet
Robust vision-based grasping is still a hard problem for humanoid robot systems. When being restricted to using the camera system built-in into the robot's head for object localization, the scenarios get often very simplified in order to allow the robot to grasp …
- 230000004807 localization 0 title abstract description 31
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
- G06K9/62—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
- G06K9/6203—Shifting or otherwise transforming the patterns to accommodate for positional errors
-
- 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
- G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
-
- 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
- G06K9/3216—Aligning or centering of the image pick-up or image-field by locating a pattern
-
- 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
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- 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
- 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
- G06T2207/30108—Industrial image inspection
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- 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
- 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
- G06T3/00—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image
- G06T3/0068—Geometric image transformation in the plane of the image, e.g. from bit-mapped to bit-mapped creating a different image for image registration, e.g. elastic snapping
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Azad et al. | Stereo-based 6d object localization for grasping with humanoid robot systems | |
Zubizarreta et al. | A framework for augmented reality guidance in industry | |
Hodaň et al. | Detection and fine 3D pose estimation of texture-less objects in RGB-D images | |
Buch et al. | Pose estimation using local structure-specific shape and appearance context | |
Lowe | Distinctive image features from scale-invariant keypoints | |
US9154773B2 (en) | 2D/3D localization and pose estimation of harness cables using a configurable structure representation for robot operations | |
Lee et al. | Depth-assisted real-time 3D object detection for augmented reality | |
Ramnath et al. | Car make and model recognition using 3D curve alignment | |
Muñoz et al. | Fast 6D pose estimation for texture-less objects from a single RGB image | |
Wang et al. | A LINE-MOD-based markerless tracking approachfor AR applications | |
Pretto et al. | Flexible 3D localization of planar objects for industrial bin-picking with monocamera vision system | |
EP2201495A1 (en) | Computer vision cad models | |
Ekvall et al. | Object recognition and pose estimation using color cooccurrence histograms and geometric modeling | |
Han et al. | A review of edge-based 3D tracking of rigid objects | |
Azad et al. | Combining appearance-based and model-based methods for real-time object recognition and 6d localization | |
Kaymak et al. | Implementation of object detection and recognition algorithms on a robotic arm platform using raspberry pi | |
Hinterstoisser et al. | N3m: Natural 3d markers for real-time object detection and pose estimation | |
Lambrecht | Robust few-shot pose estimation of articulated robots using monocular cameras and deep-learning-based keypoint detection | |
Ramisa et al. | Mobile robot localization using panoramic vision and combinations of feature region detectors | |
CN108694348B (en) | Tracking registration method and device based on natural features | |
Azad et al. | Accurate shape-based 6-dof pose estimation of single-colored objects | |
Rink et al. | Feature based particle filter registration of 3D surface models and its application in robotics | |
Lin et al. | Investigating 3-D model and part information for improving content-based vehicle retrieval | |
Peng et al. | Real time and robust 6D pose estimation of RGBD data for robotic bin picking | |
Teng et al. | Surface-based general 3D object detection and pose estimation |