Meger et al., 2011 - Google Patents
Explicit Occlusion Reasoning for 3D Object Detection.Meger et al., 2011
View PDF- Document ID
- 11268894012669367580
- Author
- Meger D
- Wojek C
- Little J
- Schiele B
- Publication year
- Publication venue
- BMVC
External Links
Snippet
This paper presents a technique to locate objects in 3D that adapts visual appearance models using explicit visibility analysis. We formulate a Bayesian model for 3D object likelihood based on visual appearance, 3D geometry such as that available from RGB-depth …
- 238000001514 detection method 0 title abstract description 29
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
- G06K9/20—Image acquisition
- G06K9/32—Aligning or centering of the image pick-up or image-field
- G06K9/3233—Determination of region of interest
-
- 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
- G06K9/36—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
- G06K9/00221—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
- G06K9/62—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
- 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
- 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
- G06K9/00624—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
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30004—Biomedical 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
- G06T2207/10—Image acquisition modality
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K2209/00—Indexing scheme relating to methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Meger et al. | Explicit Occlusion Reasoning for 3D Object Detection. | |
Zhu et al. | Single image 3d object detection and pose estimation for grasping | |
Guo et al. | An integrated framework for 3-D modeling, object detection, and pose estimation from point-clouds | |
Choi et al. | A general framework for tracking multiple people from a moving camera | |
Eade et al. | Edge landmarks in monocular SLAM | |
Ošep et al. | Multi-scale object candidates for generic object tracking in street scenes | |
Zeng et al. | Semantic mapping with simultaneous object detection and localization | |
Tanke et al. | Iterative greedy matching for 3d human pose tracking from multiple views | |
Son et al. | A multi-vision sensor-based fast localization system with image matching for challenging outdoor environments | |
Marton et al. | Probabilistic categorization of kitchen objects in table settings with a composite sensor | |
Sucar et al. | Probabilistic global scale estimation for monoslam based on generic object detection | |
Pire et al. | Online object detection and localization on stereo visual SLAM system | |
Ferguson et al. | A 2d-3d object detection system for updating building information models with mobile robots | |
Li et al. | TextSLAM: Visual SLAM With Semantic Planar Text Features | |
Li et al. | High-precision motion detection and tracking based on point cloud registration and radius search | |
Sahili et al. | A Survey of Visual SLAM Methods | |
Lima et al. | 3D pedestrian localization using multiple cameras: A generalizable approach | |
Pershina et al. | Methods of mobile robot visual navigation and environment mapping | |
Helmer et al. | Multiple viewpoint recognition and localization | |
Hong et al. | A stereo vision SLAM with moving vehicles tracking in outdoor environment | |
Brauer et al. | Generative 2d and 3d human pose estimation with vote distributions | |
Pelapur et al. | Vehicle detection and orientation estimation using the radon transform | |
Meger et al. | Mobile 3D object detection in clutter | |
Pandey et al. | Toward mutual information based place recognition | |
Persson et al. | Fusion of aerial images and sensor data from a ground vehicle for improved semantic mapping |