Stanescu et al., 2018 - Google Patents
Semantic segmentation of geometric primitives in dense 3D point cloudsStanescu et al., 2018
View PDF- Document ID
- 368980056795094083
- Author
- Stanescu A
- Fleck P
- Schmalstieg D
- Arth C
- Publication year
- Publication venue
- 2018 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct)
External Links
Snippet
This paper presents an approach to semantic segmentation and structural modeling from dense 3D point clouds. The core contribution is an efficient method for fitting of geometric primitives based on machine learning. First, the dense 3D point cloud is acquired together …
- 230000011218 segmentation 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
- G06K9/6267—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
- 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
- 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
- G06K9/36—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
- 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
- G06T2207/30—Subject of image; Context of image processing
-
- 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
-
- 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
-
- 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
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T17/00—Three dimensional [3D] modelling, e.g. data description of 3D objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2200/00—Indexing scheme for image data processing or generation, in general
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Sucar et al. | NodeSLAM: Neural object descriptors for multi-view shape reconstruction | |
| Guo et al. | Efficient center voting for object detection and 6D pose estimation in 3D point cloud | |
| Berger et al. | State of the art in surface reconstruction from point clouds | |
| Kaick et al. | Shape segmentation by approximate convexity analysis | |
| CN105144196B (en) | Method and apparatus for computing camera or object pose | |
| CN101388115B (en) | Depth image autoegistration method combined with texture information | |
| Lei et al. | What's the situation with intelligent mesh generation: A survey and perspectives | |
| Berretti et al. | Representation, analysis, and recognition of 3D humans: A survey | |
| US20110175916A1 (en) | Vectorization of line drawings using global topology and storing in hybrid form | |
| WO2017079918A1 (en) | Indoor scene scanning reconstruction method and apparatus | |
| Yuan et al. | Space‐time co‐segmentation of articulated point cloud sequences | |
| CN105917356A (en) | Contour-based classification of objects | |
| Birdal et al. | Cad priors for accurate and flexible instance reconstruction | |
| Huang et al. | Tracking-by-detection of 3d human shapes: from surfaces to volumes | |
| Patil et al. | Automatic Scan-to-BIM—The Impact of Semantic Segmentation Accuracy | |
| Stanescu et al. | Semantic segmentation of geometric primitives in dense 3D point clouds | |
| Li et al. | Detail 3D face reconstruction based on 3DMM and displacement map | |
| Liu | Automatic range image registration in the markov chain | |
| Kumar et al. | CIS2VR: CNN-based indoor scan to VR environment authoring framework | |
| Lyra et al. | Development of an efficient 3D reconstruction solution from permissive open-source code | |
| Asif et al. | Model-free segmentation and grasp selection of unknown stacked objects | |
| Luo et al. | Object-level segmentation of indoor point clouds by the convexity of adjacent object regions | |
| Shui et al. | Automatic planar shape segmentation from indoor point clouds | |
| Gao et al. | Multi-target 3d reconstruction from rgb-d data | |
| Terreran et al. | Boat hunting with semantic segmentation for flexible and autonomous manufacturing |