Titlebook: An Invitation to 3-D Vision; From Images to Geome Yi Ma,Stefano Soatto,S. Shankar Sastry Textbook 2004 Springer Science+Business Media New

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常到

心胸開闊

Image Formation formation: the latter studies how objects give rise to images, while the former attempts to use images to recover a description of objects in space. Therefore, designing vision algorithms requires first developing a suitable model of image formation. Suitable, in this context, does not necessarily

Indict

Morsel

啞巴

Estimation of Multiple Motions from Two Views scene, or to a single rigid object moving relative to a camera. In practice, this assumption is rather restrictive: interaction with real-world scenes requires negotiating physical space with multiple objects. In this chapter we consider the case of scenes populated with multiple . objects moving i

品牌

Multiple-View Geometry of Points and Lines entails studying constraints that corresponding points in different views must satisfy if they are the projection of the same point in space. Not only is this development crucial for understanding the geometry of multiple views but, as in the two-view case, these constraints may be used to derive a

對待

Extension to General Incidence Relationses (e.g., intersection and coplanarity). We will demonstrate how incidence relations among multiple points, lines, and planes in space can be encoded in multiple images through the same matrix rank conditions. Such a generalization reveals additional instances that give rise to some nontrivial const

最有利

JOG

Visual Feedbacks, and we have given examples of successful application of vision techniques to autonomous driving and helicopter landing. Interaction with a dynamically changing environment requires action based on the current assessment of the situation, as inferred from sensory data. For instance, driving a car