The Role of Fixation and Visual Attention in Object Recognition
Data(s) |
20/10/2004
20/10/2004
21/07/1995
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Resumo |
This research project is a study of the role of fixation and visual attention in object recognition. In this project, we build an active vision system which can recognize a target object in a cluttered scene efficiently and reliably. Our system integrates visual cues like color and stereo to perform figure/ground separation, yielding candidate regions on which to focus attention. Within each image region, we use stereo to extract features that lie within a narrow disparity range about the fixation position. These selected features are then used as input to an alignment-style recognition system. We show that visual attention and fixation significantly reduce the complexity and the false identifications in model-based recognition using Alignment methods. We also demonstrate that stereo can be used effectively as a figure/ground separator without the need for accurate camera calibration. |
Formato |
97 p. 8826773 bytes 2714320 bytes application/postscript application/pdf |
Identificador |
AITR-1529 |
Idioma(s) |
en_US |
Relação |
AITR-1529 |
Palavras-Chave | #AI #MIT #Artificial Intelligence #Computer Vision #Object Recognitions |