Chen et al., 2019 - Google Patents
A Framework for 3D Object Detection and Pose Estimation in Unstructured Environment Using Single Shot Detector and Refined LineMOD Template MatchingChen et al., 2019
View PDF- Document ID
- 17749886162963072272
- Author
- Chen S
- Hong J
- Liu X
- Li J
- Zhang T
- Wang D
- Guan Y
- Publication year
- Publication venue
- 2019 24th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
External Links
Snippet
In order to improve the robot's perception ability in the complicated environment, especially the unstructured environment, a framework of 3D object detection and pose estimation using single shot detector (SSD) and modified LineMOD template matching is proposed, which …
- 238000001514 detection method 0 title abstract description 45
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
-
- 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
- G06K9/6267—Classification techniques
- G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
-
- 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
- G06K9/00268—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
- G06K9/36—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
- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/68—Methods or arrangements for recognition using electronic means using sequential comparisons of the image signals with a plurality of references in which the sequence of the image signals or the references is relevant, e.g. addressable memory
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
-
- 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
- G06K9/00201—Recognising three-dimensional objects, e.g. using range or tactile information
-
- 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
- G06K9/00335—Recognising movements or behaviour, e.g. recognition of gestures, dynamic facial expressions; Lip-reading
- G06K9/00355—Recognition of hand or arm movements, e.g. recognition of deaf sign language
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN110648361B (en) | Real-time pose estimation method and positioning and grabbing system of three-dimensional target object | |
Song et al. | CAD-based pose estimation design for random bin picking using a RGB-D camera | |
CN106780557B (en) | Moving object tracking method based on optical flow method and key point features | |
Zhang et al. | Robotic grasp detection based on image processing and random forest | |
Lin et al. | Robotic grasping with multi-view image acquisition and model-based pose estimation | |
CN108876852B (en) | Online real-time object identification and positioning method based on 3D vision | |
Rusu et al. | Perception for mobile manipulation and grasping using active stereo | |
He et al. | A 3D object detection and pose estimation pipeline using RGB-D images | |
CN108229416A (en) | Robot SLAM methods based on semantic segmentation technology | |
Liu et al. | 6D pose estimation of occlusion-free objects for robotic Bin-Picking using PPF-MEAM with 2D images (occlusion-free PPF-MEAM) | |
Torii et al. | Model-less estimation method for robot grasping parameters using 3D shape primitive approximation | |
Yin et al. | Overview of robotic grasp detection from 2D to 3D | |
Sun et al. | Robotic grasping using semantic segmentation and primitive geometric model based 3D pose estimation | |
CN112070005B (en) | Three-dimensional primitive data extraction method and device and storage medium | |
Chen et al. | A Framework for 3D Object Detection and Pose Estimation in Unstructured Environment Using Single Shot Detector and Refined LineMOD Template Matching | |
Liu et al. | Robust 3-d object recognition via view-specific constraint | |
Kim et al. | Structured light camera base 3D visual perception and tracking application system with robot grasping task | |
Li et al. | Recent advances on application of deep learning for recovering object pose | |
JP2011174891A (en) | Device and method for measuring position and attitude, and program | |
Asif et al. | Model-free segmentation and grasp selection of unknown stacked objects | |
Arbeiter et al. | Efficient segmentation and surface classification of range images | |
Liang et al. | Visual reconstruction and localization-based robust robotic 6-DoF grasping in the wild | |
Li et al. | Pose estimation of metal workpieces based on RPM-Net for robot grasping from point cloud | |
Zhang et al. | Object detection and grabbing based on machine vision for service robot | |
Yamada et al. | Pose estimation of a simple-shaped object based on poseclass using RGBD camera |