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This paper is concerned with improving target appearance models to realize robust object tracking. We explore the use of feature space other than the commonly used color space for object tracking. Specifically, we employ gradient information to be used separately as well as in conjunction with color information. Our target appearance model is then represented in the form of a histogram using its gradient...
This paper describes the automatic acquisition of three dimensional architectural models from short image sequences. The approach is Bayesian and model based. Bayesian methods necessitate the formulation of a prior distribution; however designing a generative model for buildings is a difficult task. In order to overcome this a building is described as a set of walls together with a ‘Lego’ kit of parameterised...
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