Sökning: "Object Position"

Visar resultat 11 - 15 av 169 avhandlingar innehållade orden Object Position.

  1. 11. Temporal support for land information systems in object-oriented modeling

    Författare :Jaeik Liou; KTH; []
    Nyckelord :;

    Sammanfattning : With the development of distributed object technologies andthe overwhelming advent of the Web, an object-oriented datamodel for GIS/LIS is proposed, possessing significantlyincreasing importance and application, when movingfrom astatic position to a distributed and heterogeneous view. Theconceptual model of land information hinges on a complexspatio-temporal object model for defining not only collectionsof land parcel objects but also distributions of them within afour domain framework. LÄS MER

  3. 12. Shape-based Representations and Boosting for Visual Object Class Detection : Models and methods for representaion and detection in single and multiple views

    Författare :Oscar Danielsson; Stefan Carlsson; Josephine Sullivan; Bernt Schiele; KTH; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES;

    Sammanfattning : Detection of generic visual object classes (i.e. cars, dogs, mugs or people) in images is a task that humans are able to solve with remarkable ease. Unfortunately this has proven a very challenging task for computer vision. LÄS MER

  4. 13. Global Shape Description of Digital Objects

    Författare :Ola Weistrand; Christer Kiselman; Gunilla Borgefors; Örjan Smedby; Michael Floater; Uppsala universitet; []
    Nyckelord :Applied mathematics; shape description; shape approximation; surface parameterization; digital object; spherical harmonics; digital surface; digital image; Tillämpad matematik;

    Sammanfattning : New methods for global shape description of three-dimensional digital objects are presented. The shape of an object is first represented by a digital surface where the faces are either triangles or quadrilaterals. LÄS MER

  5. 14. Spatial Vision in Bees : Behavioural investigation of spatial resolution and contrast sensitivity

    Författare :Aravin Chakravarthi; Funktionell zoologi; []
    Nyckelord :Insect vision; Honeybees; Bumblebees; Spatial resolution; Contrast sensitivity; Motion detection; Object discrimination;

    Sammanfattning : Bees use multiple sensory modalities to perform day-to-day tasks. Light allows them to perceive objects and the general features of their surroundings, enabling them to find food and to navigate safely across the landscape. LÄS MER

  7. 15. Channel-Coded Feature Maps for Computer Vision and Machine Learning

    Författare :Erik Jonsson; Michael Felsberg; Florentin Wörgötter; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; computer vision; machine learning; object recognition; pose estimation; Image analysis; Bildanalys;

    Sammanfattning : This thesis is about channel-coded feature maps applied in view-based object recognition, tracking, and machine learning. A channel-coded feature map is a soft histogram of joint spatial pixel positions and image feature values. Typical useful features include local orientation and color. LÄS MER