We present a method that uses measured scene radiance and global illumination in order to add new objects to light-based models with correct lighting. The methodusesahighdynamicrangeimagebasedmodelofthescene, ratherthansyntheticlightsources,toilluminatethe new objects. Tocomputetheillumination

Abstract. A common problem encountered in recognizing signs in realscene images is the perspective deformation. In this paper, we employ a descriptor named Cross Ratio Spectrum for recognizing real scene signs. Particularly, this method will be applied in two different ways: recognizing a multi

In this paper we present a method for recovering the reflectance properties of all surfaces in a real scene from a sparse set of photographs, taking into account both direct and indirect illumination. The result is a lighting-independent model of the scene's geometry and reflectance properties

This paper presents a methodology for integrating synthetic objects into real scenes. We take a set of photographs of the real scene and build a simple image-based model. We use high dynamic range images to build an accurate representation of the lighting in the scene. Then we insert a synthetic

A common problem encountered in recognizing symbols in real-scene images is the perspective deformation. A character recognition method resistant to perspective deformation has been proposed in [4]. Particularly, a symbol is represented by a sequence of cross ratio spectra, in which 3D perspective

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Two new texture features, based on morphological scale-space processors are introduced. The new methods are shown to have good performance over a variety of tests. We demonstrate that if texture classifies are to be used in real world scenes, then the choice of test is critical and that Brodatz

Image-based modeling and rendering techniques greatly advanced the level of photorealism in computer graphics. They were originally proposed to accelerate rendering with the ability to vary viewpoint only. This thesis focuses on capturing and modeling real scenes for novel visual interactions

Abstract. We present a new method for deforming an object in a static real scene, which interacts with animated synthetic characters. Unlike the existing method- making a new synthetic object to substitute for the interacting object in the real scene, we directly deform the object in image space