[go: up one dir, main page]

Correal et al., 2014 - Google Patents

Automatic expert system for 3D terrain reconstruction based on stereo vision and histogram matching

Correal et al., 2014

View PDF
Document ID
15476786116194144361
Author
Correal R
Pajares G
Ruz J
Publication year
Publication venue
Expert Systems with Applications

External Links

Snippet

This paper proposes an automatic expert system for 3D terrain reconstruction and automatic intensity correction in stereo pairs of images based on histogram matching. Different applications in robotics, particularly those based on autonomous navigation in rough and …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

    • 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
    • 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
    • G06T2207/30—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
    • G06T2207/10016—Video; Image sequence
    • 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
    • G06T2207/10032—Satellite or aerial image; Remote sensing
    • 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
    • G06K9/62—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
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
    • 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
    • G06K9/62—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
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T5/00—Image enhancement or restoration, e.g. from bit-mapped to bit-mapped creating a similar image
    • G06T5/007—Dynamic range modification
    • G06T5/008—Local, e.g. shadow enhancement

Similar Documents

Publication Publication Date Title
Correal et al. Automatic expert system for 3D terrain reconstruction based on stereo vision and histogram matching
Hamzah et al. Improvement of stereo matching algorithm for 3D surface reconstruction
US10748247B2 (en) Computing high-resolution depth images using machine learning techniques
JP6586430B2 (en) Estimation of vehicle position
US11274922B2 (en) Method and apparatus for binocular ranging
US8135211B2 (en) Method and device for three-dimensional reconstruction of a scene
AU2017324923A1 (en) Predicting depth from image data using a statistical model
CN113724379B (en) Three-dimensional reconstruction method and device for fusing image and laser point cloud
CN105335955A (en) Object detection method and object detection apparatus
CN110706269A (en) Binocular vision SLAM-based dynamic scene dense modeling method
Kong et al. A method for learning matching errors for stereo computation.
CN113723432B (en) Intelligent identification and positioning tracking method and system based on deep learning
Haq et al. An edge-aware based adaptive multi-feature set extraction for stereo matching of binocular images
CN113763449B (en) Depth recovery method and device, electronic equipment and storage medium
CN118736010A (en) A dynamic visual SLAM method for low-light scenes
Teutscher et al. PDC: piecewise depth completion utilizing superpixels
Hirner et al. FC-DCNN: A densely connected neural network for stereo estimation
Kim et al. Adaptive descriptor-based robust stereo matching under radiometric changes
Howells et al. Depth maps comparisons from monocular images by midas convolutional neural networks and dense prediction transformers
Bauer et al. Improving the 3D perception of the pepper robot using depth prediction from monocular frames
US20230281862A1 (en) Sampling based self-supervised depth and pose estimation
CN117670969A (en) Depth estimation method, device, terminal equipment and storage medium
CN118247352A (en) Binocular stereo matching method, device, equipment and medium based on deep learning
CN115984583A (en) Data processing method, apparatus, computer device, storage medium and program product
EP3929870A1 (en) Method for subpixel disparity calculation