• Title/Summary/Keyword: Basis Images

Search Result 680, Processing Time 0.028 seconds

Computational Approach to Color Overlapped Integral Imaging for Depth Estimation

  • Lee, Eunsung;Lim, Joohyun;Kim, Sangjin;Har, Donghwan;Paik, Joonki
    • IEIE Transactions on Smart Processing and Computing
    • /
    • 제3권6호
    • /
    • pp.382-387
    • /
    • 2014
  • A computational approach to depth estimations using a color over lapped integral imaging system is presented. The proposed imaging system acquires multiple color images simultaneously through a single lens with an array of multiple pinholes that are distributed around the optical axis. This paper proposes a computational model of the relationship between the real distance of an object and the disparity among different color images. The proposed model can serve as a computational basis of a single camera-based depth estimation.

ITERATIVE FACTORIZATION APPROACH TO PROJECTIVE RECONSTRUCTION FROM UNCALIBRATED IMAGES WITH OCCLUSIONS

  • Shibusawa, Eijiro;Mitsuhashi, Wataru
    • 한국방송∙미디어공학회:학술대회논문집
    • /
    • 한국방송공학회 2009년도 IWAIT
    • /
    • pp.737-741
    • /
    • 2009
  • This paper addresses the factorization method to estimate the projective structure of a scene from feature (points) correspondences over images with occlusions. We propose both a column and a row space approaches to estimate the depth parameter using the subspace constraints. The projective depth parameters are estimated by maximizing projection onto the subspace based either on the Joint Projection matrix (JPM) or on the the Joint Structure matrix (JSM). We perform the maximization over significant observation and employ Tardif's Camera Basis Constraints (CBC) method for the matrix factorization, thus the missing data problem can be overcome. The depth estimation and the matrix factorization alternate until convergence is reached. Result of Experiments on both real and synthetic image sequences has confirmed the effectiveness of our proposed method.

  • PDF

Neural Network Cubes (N-Cubes) for Unsupervised learning in Gray-Scale noise

  • Lee, Won-Hee
    • 한국지능시스템학회논문지
    • /
    • 제9권6호
    • /
    • pp.571-576
    • /
    • 1999
  • We consider a class of auto-associative memories namely N-Cubes (Neural-network Cubes) in which 2-D gray-level images and hidden sinusoidal 1-D wavelets are stored in cubical memories. First we develop a learning procedure based upon the least-squares algorithm, Therefore each 2-D training image is mapped into the associated 1-D waveform in the training phase. Second we show how the recall procedure minimizes errors among the orthogonal basis functions in the hidden layer. As a 2-D images ould be retrieved in the recall phase. Simulation results confirm the efficiency and the noise-free properties of N-Cubes.

  • PDF

GIS를 이용한 원격탐사영상의 변화탐지기법 개발 (The Development for Change Detection Technique in the Remotely Sensed Images by GIS)

  • 양인태;한성만;박재국;천기선
    • 한국측량학회:학술대회논문집
    • /
    • 한국측량학회 2003년도 춘계학술발표회 논문집
    • /
    • pp.397-408
    • /
    • 2003
  • The information about land use presents future development and vision being the basis of nation development; therefore, it is necessary to more active research that can detect wide land use and changes for the information and efficient management about land use. In this study, we wished to analyze effectively land use changes to Ansan city that is fast changing land use by the latest national land development and urbanization. this study executed land-cover classification using 4 year's Landsat TM images including Ansan city, and efficiently could manage the result of land-cover changes through Arc/Info GRID analysis. Especially, by using change detection system that is developed in this research, we could variously detect land-cover changes, and query and search easily past land-cover changes of pixels that correspond to specific region.

  • PDF

Extraction of Spatial Characteristics of Cadastral Land Category from RapidEye Satellite Images

  • La, Phu Hien;Huh, Yong;Eo, Yang Dam;Lee, Soo Bong
    • 한국측량학회지
    • /
    • 제32권6호
    • /
    • pp.581-590
    • /
    • 2014
  • With rapid land development, land category should be updated on a regular basis. However, manual field surveys have certain limitations. In this study, attempts were made to extract a feature vector considering spectral signature by parcel, PIMP (Percent Imperviousness), texture, and VIs (Vegetation Indices) based on RapidEye satellite image and cadastral map. A total of nine land categories in which feature vectors were significantly extracted from the images were selected and classified using SVM (Support Vector Machine). According to accuracy assessment, by comparing the cadastral map and classification result, the overall accuracy was 0.74. In the paddy-field category, in particular, PO acc. (producer's accuracy) and US acc. (user's accuracy) were highest at 0.85 and 0.86, respectively.

Deep Hashing for Semi-supervised Content Based Image Retrieval

  • Bashir, Muhammad Khawar;Saleem, Yasir
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제12권8호
    • /
    • pp.3790-3803
    • /
    • 2018
  • Content-based image retrieval is an approach used to query images based on their semantics. Semantic based retrieval has its application in all fields including medicine, space, computing etc. Semantically generated binary hash codes can improve content-based image retrieval. These semantic labels / binary hash codes can be generated from unlabeled data using convolutional autoencoders. Proposed approach uses semi-supervised deep hashing with semantic learning and binary code generation by minimizing the objective function. Convolutional autoencoders are basis to extract semantic features due to its property of image generation from low level semantic representations. These representations of images are more effective than simple feature extraction and can preserve better semantic information. Proposed activation and loss functions helped to minimize classification error and produce better hash codes. Most widely used datasets have been used for verification of this approach that outperforms the existing methods.

암묵적 접근을 통한 바람직한 초등학교 교사상의 구성요인 탐색 (Exploration of the Component Factors on Images of Good Elementary Teacher based on Implicit Theories)

  • 강영심;이미아;정은영
    • 수산해양교육연구
    • /
    • 제18권3호
    • /
    • pp.283-292
    • /
    • 2006
  • The purpose of this study was to explore the component factors on images of good elementary teacher. 579 elementary teachers in Busan were sampled to be surveyed. The subjects answered open-ended questionnaire related to characteristics of good teacher. The number of items obtained from the questionnaire is 79. The exploratory factor analysis was applied to the data. As a result of exploratory factor analysis, the components of good teacher are classified into five factors : fairness, enthusiasm, commitment, warmth, self-management. All such factors might be related to the personality in common. It shows that teachers think the personality important as a characteristic of good teacher. On the basis of this result we offer a suggestion to the teacher education.

레지오 유치원 계획안 연구 (A Study on the Reggio Kindergarten Planning)

  • 강혜진
    • 한국실내디자인학회:학술대회논문집
    • /
    • 한국실내디자인학회 2005년도 춘계학술발표대회 논문집
    • /
    • pp.259-262
    • /
    • 2005
  • Since the importance of early education has been emphasized the Reggio preschools based on the philosophy of open education has been recreated in Korean culture. The Reggio Emilia approach to education is committed to the creation of conditions for learning that will enhance and facilitate children's construction of their own powers of thinking. Dream and hope of children are reflected in every where of the Reggio preschools that great attention is given to the look and feel of the classroom and environment is considered the‘third teacher.’ The results of the kindergarten design as a way of expressing direct, indirect and eclectic images using nature, that natural elements can become the elements of design in any form, and that nature's images are expressed by not only natural and artificial materials. In addition, safety and harmony with adjacent outdoors are also importantly considered in kindergarten design. Even though there were some limitations on this planning, the findings can be utilized as a basis for generating interior environmental recommendations for planning a better quality of kindergarten.

  • PDF

REGION-ORIENTED TRANSFORM CODING OF STILL IMAGES USING VORONOI DIAGRAMS AND SCHMIDT'S ORTHOGONALIZATION

  • Ichiro-Matsuda;Susumu-Itoh
    • 한국방송∙미디어공학회:학술대회논문집
    • /
    • 한국방송공학회 1999년도 KOBA 방송기술 워크샵 KOBA Broadcasting Technology Workshop
    • /
    • pp.69-76
    • /
    • 1999
  • This paper proposes a new region-oriented coding scheme of still images. The scheme first segments an image into homogeneous regions by making use of Voronoi diagrams. Then luminance components in each Voronoi region are encoded using a transform coding technique which employs the Schmidt's orthogonalization method to produce orthonormal basis-functions for arbitrarily shaped regions. In this technique, coding efficiency depends on the properties of initial vectors to be orthogonalized. Therefore we adaptively select a set of initial vectors as well as the order in which these vectors are orthogonalized. Simulation results indicate that the proposed coding scheme achieves higher coding performance with much less computation than the KLT-based scheme which we reported formerly.

Flood Submerged Area Mapping Using the Integration of SAR /TM Images

  • Xinglian, Qiu;Jincun, zhang
    • 대한원격탐사학회:학술대회논문집
    • /
    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
    • /
    • pp.287-290
    • /
    • 2002
  • Real-time flood submerged area map provides important scientific basis for the decision-making of flood control and relieving disaster. Taking the Wuhan area as an example, this article gives out a image interpretation method under influence of flood, and describes real-time or quasi-real-time flood submerged area map by using the integration of ERS-2 SAR image and LANDSAT TM image in support of remote sensing images process software ERDAS.

  • PDF