| L. E. Wixson. Exploiting world structure to efficiently search for objects. Technical Report Number 434, University of Rochester, 1992. |
....nose may be searched in specific regions of the image. The TEA 1 system, presented by Rimey and Brown [141] supports certain context related attentional strategies. TEA 1 operates on the 2D world of dinner table images. Another effort towards context based attention has been reported by Wixson [201], who tried to incorporate knowledge about world structure to efficiently search for objects. Feature related control of visual attention, on the other hand, is based on the result of lowlevel visual processing. Feature based focus of attention mechanisms may be classified into two classes, ....
L.E. Wixson. Exploiting World Structure to Efficiently Search for Objects. Technical Report TR 434, University of Rochester, Dept. of Computer Science, 1992.
....artifacts in the image. Computational efficiency is usually the motivating concern. Garvey 75, Ballard et al. 77, Bolles 77] are early examples. This theme has resurfaced several times, recently in medical image understanding [Tsotsos 85] and most recently in active vision search tasks, with [Wixson 92] and [Rimey 92] Rimey s TEA 1 answers high level questions about table settings, such as Is this a fancy meal Knowledge about how tablewares are arranged relative to each other is encoded in a series of Bayes nets, which control camera motion and visual processing on the basis of maximal ....
L. Wixson. Exploiting world structure to efficiently search for objects. Report # 434, University of Rochester Dept. of Computer Science, 1992.
....of large amounts of computational power [19] Unfortunately, the correctness of a behavior or a collection of behaviors for performing a given task is much harder to evaluate. One way is to conduct an experimental validation, i.e. implement them and see how they perform under various conditions [20]. Instead, before building and testing an experimental system, we take a theoretical approach to this problem. We prove that the behaviors used will always perform the task. In this respect, we believe that a major contribution of our approach is a methodological one; although the behaviors we ....
L. E. Wixson, "Exploiting world structure to efficiently search for objects," Tech. Rep. 434, University of Rochester, July 1992.
....The Hausdorff technique is an interesting intermediate point between low level and high level approaches. 1. 3 Visual Search Visual routines, visual search, and visual attention have received increasing attention in the active vision community [ Clark and Ferrier, 1988 ] Rimey, 1992 ] Wixson, 1992 ] Reece and Shafer, 1991 ] Ratan, 1995 ] Swain, 1992 ] the core AI community [ Agre and Chapman, 1987 ] Chapman, 1990 ] Kanazawa, 1994 ] and the learning and connectionism communities [ Whitehead and Ballard, 1990 ] Tsotsos et al. 1994 ] Olshausen et al. 1992 ] The visual search ....
....data such as size and silhouette information, which techniques such as template matching cannot provide. The technique provides a plug compatible replacement for the segmentation components of other low level visual search systems such as [ Chapman, 1990 ] Horswill, 1995 ] Rimey, 1992 ] Wixson, 1992 ] allowing them not only to find regions with specified properties, but also to track. Much work remains to be done. The system would be much more robust if it were given more low level features on which to track. Texture, optic flow, and disparity seem like good candidates. We hope that the ....
Lambert E. Wixson. Exploiting world structure to efficiently search for objects. TR 434, University of Rochester Computer Science Department, July 1992.
.... on the benefits of controlling a robot s sensors [ Aloimonos et al. 1988; Ballard and Brown, 1992; Garvey, 1976; Dean et al. 1990 ] Active or selective perception has been used in closed loop control for tracking [ Coombs, 1992 ] recognizing table settings [ Rimey, 1993 ] object search [ Wixson, 1992 ] playing a video game [ Agre and Chapman, 1987 ] block stacking [ Chapman, 1989 ] and driving from a bird s eye view [ Reece and Shafer, 1992 ] However, this work has not implemented robots that learn to use selective perception. Reinforcement learning has an extensive history with many ....
Lambert E. Wixson. Exploiting world structure to efficiently search for objects. Technical Report 434, University of Rochester Computer Science Department, July 1992.
....Since the visual sensors were parallel to the ground plane tables appear as horizontal surfaces, with coke cans sticking up from them. Know81 CHAPTER 6. ATTENTION SELECTION 82 ing the approximate distance to the tables the visual search was limited to a narrow horizontal strip in the image. Wixson [Wixson, 1992] demonstrated similar techniques, but expanded the method. By first doing a visual search in very low resolution using images covering a total 360 degree sweep of a room he showed that from e.g. color cues a larger object known to be connected with the object of interest could be detected, and ....
Lambert E. Wixson. Exploiting world structure to efficiently search for objects. Technical Report 434, Department of Computer Science at University of Rochester, USA, University of Rochester, New York, USA, July 1992.
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L. E. Wixson. Exploiting world structure to efficiently search for objects. Technical Report Number 434, University of Rochester, 1992.
No context found.
L. E. Wixson. Exploiting world structure to efficiently search for objects. Technical Report Number 434, University of Rochester, 1992.
No context found.
Lambert E. Wixson. Exploiting world structure to efficiently search for objects. Technical Report TR-434, Computer Science Deparment, University of Rochester, 1992.
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L. E. Wixson and D. H. Ballard, "Exploiting world structure to efficiently search for objects," Int. J. Computer Vision, 1993. In this issue.
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Lambert E. Wixson. Exploiting world structure to efficiently search for objects. Technical Report TR-434, Computer Science Deparment, University of Rochester, 1992.
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