Jung et al., 2012 - Google Patents
Robust stereo matching under illumination differencesJung et al., 2012
View PDF- Document ID
- 18253556862417256298
- Author
- Jung I
- Kim C
- Publication year
- Publication venue
- Proceedings of the Korean Society of Broadcast Engineers Conference
External Links
Snippet
본 논문에서는 보다 정밀한 깊이 정보를 추출하기 위하여, 밝기 차이에 강인한 스테레오 정합 기법을 개발한다. 우선 촬영된 환경에 따라 발생하는 스테레오 영상의 노출 차이를 보상하기 위하여, 전체 영상에 대하여 전역적으로 히스토그램 기반의 3 차원 누적 분포 함수를 계산한다 …
- 238000005286 illumination 0 title 1
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
- 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
- G06K9/4652—Extraction of features or characteristics of the image related to colour
-
- 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
- G06K9/00268—Feature extraction; Face representation
- G06K9/00281—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- 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
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
-
- 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
- G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Kim et al. | Specular reflection separation using dark channel prior | |
Zhang et al. | SDSP: A novel saliency detection method by combining simple priors | |
Shafaei et al. | Real-time human motion capture with multiple depth cameras | |
Sun et al. | Layered RGBD scene flow estimation | |
Yang | Dealing with textureless regions and specular highlights-a progressive space carving scheme using a novel photo-consistency measure | |
Chen et al. | Visual-based human crowds behavior analysis based on graph modeling and matching | |
Xu et al. | A cluster number adaptive fuzzy c-means algorithm for image segmentation | |
Linder et al. | Real-time full-body human attribute classification in RGB-D using a tessellation boosting approach | |
Jung et al. | Robust stereo matching under illumination differences | |
Kim et al. | A novel line matching method based on intersection context | |
Edoardo Maresca et al. | The Matrioska tracking algorithm on LTDT2014 dataset | |
Parolin et al. | Bilayer video segmentation for videoconferencing applications | |
Igorevich et al. | Hand gesture recognition algorithm based on grayscale histogram of the image | |
Yaman et al. | Multimodal Stereo Vision Using Mutual Information with Adaptive Windowing. | |
Quiroga et al. | Local scene flow by tracking in intensity and depth | |
Chen et al. | Using facial symmetry in the illumination cone based 3D face reconstruction | |
Jayadevan et al. | 3D shape recovery from real images using a symmetry prior | |
Yii et al. | Review of three dimensional human action recognition | |
Anusha et al. | Frontal gait recognition based on hierarchical centroid shape descriptor and similarity measurement | |
Bhutta et al. | Selective subtraction when the scene cannot be learned | |
Kuo et al. | Depth map estimation from a single video sequence | |
Malathi et al. | Multiple camera-based codebooks for object detection under sudden illumination change | |
Irfanullah et al. | An efficient approach for sky detection | |
Bhutta et al. | Selective subtraction for handheld cameras | |
Li et al. | A New Approach for Gray Image Segmentation Using Level Set Method |