Biasotti et al., 2016 - Google Patents
Retrieval and classification methods for textured 3D models: a comparative studyBiasotti et al., 2016
View PDF- Document ID
- 3140249512919680034
- Author
- Biasotti S
- Cerri A
- Aono M
- Hamza A
- Garro V
- Giachetti A
- Giorgi D
- Godil A
- Li C
- Sanada C
- Spagnuolo M
- Tatsuma A
- Velasco-Forero S
- Publication year
- Publication venue
- The Visual Computer
External Links
Snippet
This paper presents a comparative study of six methods for the retrieval and classification of textured 3D models, which have been selected as representative of the state of the art. To better analyse and control how methods deal with specific classes of geometric and texture …
- 230000000052 comparative effect 0 title abstract description 10
Classifications
-
- 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
- G06F17/30247—Information retrieval; Database structures therefor; File system structures therefor in image databases based on features automatically derived from the image data
-
- 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
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component 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
- G06K9/62—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
- G06K9/36—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
- G06K9/4642—Extraction of features or characteristics of the image by performing operations within image blocks or by using histograms
-
- 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
- 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
- G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
-
- 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
- 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
-
- 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
- G06T7/00—Image analysis
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Biasotti et al. | Retrieval and classification methods for textured 3D models: a comparative study | |
Bailo et al. | Efficient adaptive non-maximal suppression algorithms for homogeneous spatial keypoint distribution | |
Liu et al. | Sequential spectral change vector analysis for iteratively discovering and detecting multiple changes in hyperspectral images | |
Shao et al. | An interactive approach to semantic modeling of indoor scenes with an rgbd camera | |
Vassilieva | Content-based image retrieval methods | |
Biasotti et al. | SHREC’14 track: Retrieval and classification on textured 3D models | |
Savelonas et al. | An overview of partial 3D object retrieval methodologies | |
Li et al. | Hybrid shape descriptor and meta similarity generation for non-rigid and partial 3D model retrieval | |
Premachandran et al. | Perceptually motivated shape context which uses shape interiors | |
Khelifi et al. | A novel fusion approach based on the global consistency criterion to fusing multiple segmentations | |
Biasotti et al. | Phog: Photometric and geometric functions for textured shape retrieval | |
Pasqualotto et al. | Combining color and shape descriptors for 3D model retrieval | |
Zieliński et al. | Persistence codebooks for topological data analysis | |
Salti et al. | On the affinity between 3D detectors and descriptors | |
Garro et al. | Scale space graph representation and kernel matching for non rigid and textured 3D shape retrieval | |
Reta et al. | Improving content-based image retrieval for heterogeneous datasets using histogram-based descriptors | |
Nalini et al. | Review on content based image retrieval: From its origin to the new age | |
Kunlun et al. | Sparse coding-based correlaton model for land-use scene classification in high-resolution remote-sensing images | |
Fehr | Covariance based point cloud descriptors for object detection and classification | |
KR20240052049A (en) | How to match candidate images and reference images | |
Bayramoglu et al. | Comparison of 3D local and global descriptors for similarity retrieval of range data | |
Raoui et al. | Global and local image descriptors for content based image retrieval and object recognition | |
Ou et al. | Face verification with feature fusion of Gabor based and curvelet based representations | |
Romero-González et al. | Shape binary patterns: an efficient local descriptor and keypoint detector for point clouds | |
Dawood et al. | Sparsely encoded distinctive visual features for object recognition |