Search for dissertations about: "scene recognition"
Showing result 1 - 5 of 30 swedish dissertations containing the words scene recognition.
-
1. Predictive eyes precede retrieval : visual recognition as hypothesis testing
Abstract : Does visual recognition entail verifying an idea about what is perceived? This question was addressed in the three studies of this thesis. The main hypothesis underlying the investigation was that visual recognition is an active process involving hypothesis testing. READ MORE
-
2. Embodied Visual Object Recognition
Abstract : Object recognition is a skill we as humans often take for granted. Due to our formidable object learning, recognition and generalisation skills, it is sometimes hard to see the multitude of obstacles that need to be overcome in order to replicate this skill in an artificial system. READ MORE
-
3. Components of Embodied Visual Object Recognition : Object Perception and Learning on a Robotic Platform
Abstract : Object recognition is a skill we as humans often take for granted. Due to our formidable object learning, recognition and generalisation skills, it is sometimes hard to see the multitude of obstacles that need to be overcome in order to replicate this skill in an artificial system. READ MORE
-
4. Exploring Biologically-Inspired Interactive Networks for Object Recognition
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
-
5. Local spatio-temporal image features for motion interpretation
Abstract : Visual motion carries information about the dynamics of ascene. Automatic interpretation of this information isimportant when designing computer systems forvisualnavigation, surveillance, human-computer interaction, browsingof video databases and other growing applications. READ MORE