Search for dissertations about: "object recognition"

Showing result 6 - 10 of 91 swedish dissertations containing the words object recognition.

  2. 6. Exploring Biologically-Inspired Interactive Networks for Object Recognition

    Author : Mohammad Saifullah; Arne Jönsson; Rita Kovordányi; Christian Balkenius; Linköpings universitet; []
    Keywords : Interactive neural networks; Biologically-Inspired models; Visual attention; Object recognition.; TECHNOLOGY; TEKNIKVETENSKAP;

    Abstract : This thesis deals with biologically-inspired interactive neural networks for the task of object recognition. Such networks offer an interesting alternative approach to traditional image processing techniques. Although the networks are very powerful classification tools, they are difficult to handle due to their bidirectional interactivity. READ MORE

  4. 7. Data Driven Visual Recognition

    Author : Omid Aghazadeh; Stefan Carlsson; Jiri Matas; KTH; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Visual Recognition; Data Driven; Supervised Learning; Mixture Models; Non-Parametric Models; Category Recognition; Novelty Detection;

    Abstract : This thesis is mostly about supervised visual recognition problems. Based on a general definition of categories, the contents are divided into two parts: one which models categories and one which is not category based. We are interested in data driven solutions for both kinds of problems. READ MORE

  5. 8. Biologically-Based Interactive Neural Network Models for Visual Attention and Object Recognition

    Author : Mohammad Saifullah; Arne Jönsson; Christian Balkenius; Anders Lansner; Linköpings universitet; []
    Keywords : Biologically-Based Models; Object Recognition; Visual Attention; Interactive Neural Network; Occlusion; Overlapping;

    Abstract : The main focus of this thesis is to develop biologically-based computational models for object recognition. A series of models for attention and object recognition were developed in the order of increasing functionality and complexity. READ MORE

  6. 9. Studies in Semantic Modeling of Real-World Objects using Perceptual Anchoring

    Author : Andreas Persson; Amy Loutfi; Alessandro Saffiotti; Severin Lemaignan; Örebro universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Perceptual Anchoring; Semantic World Modeling; Sensor-Driven Acquisition of Data; Object Recognition; Object Classification; Symbol Grounding; Probabilistic Object Tracking;

    Abstract : Autonomous agents, situated in real-world scenarios, need to maintain consonance between the perceived world (through sensory capabilities) and their internal representation of the world in the form of symbolic knowledge. An approach for modeling such representations of objects is through the concept of perceptual anchoring, which, by definition, handles the problem of creating and maintaining, in time and space, the correspondence between symbols and sensor data that refer to the same physical object in the external world. READ MORE

  7. 10. Terrain Object recognition and Context Fusion for Decision Support

    Author : Fredrik Lantz; Erland Jungert; Per Svensson; Linköpings universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Information Fusion; Terrain Elevation Model; Driveability; Context Fusion; Terrain Object Recognition; Computer science; Datalogi;

    Abstract : A laser radar can be used to generate 3D data about the terrain in a very high resolution. The development of new support technologies to analyze these data is critical to the effective and efficient use of these data in decision support systems, due to the large amounts of data that are generated. READ MORE