| 1. |
- Granlund, Gösta H., et al.
(author)
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Issues in Robot Vision
- 1994
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In: Image and Vision Computing. - : Elsevier BV. - 0262-8856 .- 1872-8138. ; 12:3, s. 131-148
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Journal article (peer-reviewed)abstract
- In this paper, we discuss certain issues regarding robot vision. The main theme will be the importance of the choice of information representation. We will see the implications at different parts of a robot vision structure. We deal with aspects of pre-attentive versus attentive vision, control mechanisms for low level focus of attention, and representation of motion as the orientation of hyperplanes in multdimensional time-space. Issues of scale will be touched upon, and finally, a depth-from stereo algorithm based on guadrature filter phase is presented.
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| 2. |
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| 3. |
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| 4. |
- Wiklund, Johan, et al.
(author)
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Hierarchical Phase Based Disparity Estimation
- 1992
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In: Proceedings of 2nd Singapore International Conference on Image Processing. - Linköping, Sweden : Linköping University, Department of Electrical Engineering. - 9789810211820 - 9810211821
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Reports (other academic/artistic)
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| 5. |
- Karlholm, Jörgen, et al.
(author)
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Object Tracking Based on the Orientation Tensor Concept
- 1994
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Reports (other academic/artistic)abstract
- We apply the 3D-orientation tensor representation to construct an object tracking algorithm. 2D-line normal flow is estimated by computing the eigenvector associated with the largest eigenvalue of 3D (two spatial dimensions plus time) tensors with a planar structure. Object's true 2D velocity is computed by averaging tensors with consistent normal flows, generating a 3D line representation that corresponds to a 2D point in motion. Flow induced by camera rotation is compensated for by ignoring points with velocity consistent with the ego-rotation. A region-of-interest growing process based on motion consistency generates estimates of object size and position.
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| 7. |
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| 8. |
- Westelius, Carl-Johan, et al.
(author)
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Focus of attention control
- 1991
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In: Proceedings of the 7th Scandinavian Conference on Image Analysis. ; , s. 667-674
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Conference paper (peer-reviewed)
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