[go: up one dir, main page]

Olsen, 2002 - Google Patents

Stereo correspondence by surface reconstruction

Olsen, 2002

Document ID
9728492905517437928
Author
Olsen S
Publication year
Publication venue
IEEE Transactions on Pattern Analysis and Machine Intelligence

External Links

Snippet

An algorithm that solves the computational stereo correspondence and the surface reconstruction is presented. The algorithm integrates the reconstruction process in the correspondence analysis by means of multipass attribute matching and disparity refinement …
Continue reading at ieeexplore.ieee.org (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
    • G06T2207/20—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
    • 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
    • G06T2207/00—Indexing scheme for image analysis or image enhancement
    • G06T2207/30—Subject of image; Context of image processing
    • G06T2207/30108—Industrial image inspection
    • 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
    • G06T7/00—Image analysis
    • G06T7/0002—Inspection of images, e.g. flaw detection
    • G06T7/0012—Biomedical image inspection
    • 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
    • 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
    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10—Complex mathematical operations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T11/00—2D [Two Dimensional] image generation
    • 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

Similar Documents

Publication Publication Date Title
Olsen Stereo correspondence by surface reconstruction
Hoff et al. Surfaces from stereo: Integrating feature matching, disparity estimation, and contour detection
Brown et al. Advances in computational stereo
Lindeberg et al. Segmentation and classification of edges using minimum description length approximation and complementary junction cues
Jeong et al. Adaptive determination of filter scales for edge detection
Zhang et al. As-rigid-as-possible stereo under second order smoothness priors
EP2747028A1 (en) Method for recovering a relative depth map from a single image or a sequence of still images
Bartesaghi et al. A system for the generation of curves on 3D brain images
Zhang et al. Robust stereo matching with surface normal prediction
Meer et al. Least median of squares based robust analysis of image structure
GLAZER HIERARCHICAL MOTION DETECTION (VISION)
Szeliski Real-time octree generation from rotating objects
Li et al. Stereo for slanted surfaces: First order disparities and normal consistency
Bullinger Image-based 3D reconstruction of dynamic objects using instance-aware multibody structure from motion
Pock et al. Mumford-shah meets stereo: Integration of weak depth hypotheses
Huynh Feature-based stereo vision on a mobile platform
Feng et al. Dsd: Depth structural descriptor for edge-based assistive navigation
Hallek et al. Real time stereo matching using two step zero-mean SAD and dynamic programing
Perrier et al. Image-based view synthesis for enhanced perception in teleoperation
Van Meerbergen et al. A hierarchical stereo algorithm using dynamic programming
Pujol et al. On searching for an optimal threshold for morphological image segmentation
Hauenstein et al. Exhibition and evaluation of two schemes for determining hypersurface curvature in volumetric data
Zabulis et al. Efficient, precise, and accurate utilization of the uniqueness constraint in multi-view stereo
Casadei et al. A perceptual organization approach to contour estimation via composition, compression and pruning of contour hypotheses
Tomono Dense object modeling for 3-D map building using segment-based surface interpolation