P. N. Belhumeur and D. J. Kriegman. What is the set of images of an object under all possible illumination conditions? International Journal of Computer Vision, 28(3), 1998. Home/Search Document Details and Download
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Sensitivity Of Image Formation To Object Surface Orientation - Magnor (Correct)
.... geometry is known [2] Related to this work, the influence of surface displacement on coding efficiency, yet without taking surface normal deviation into account, is examined in [3] Similarly, the number of images necessary to represent all possible appearances of an object is investigated in [4]. 2. PRELIMINARIES In the following discussion, the reflection from a point on an object surface is considered. While the 3D position of the point remains fixed with respect to the illumination field and the viewing direction, the surface normal in the point may deviate from its original ....
P. Belhumeur and D. Kriegman, "What is the set of images of an object under all possible illumination conditions ?," International Journal of Computer Vision, vol. 28, pp. 245--260, 1998.
Signature Random Fields for Accommodating Illumination.. - Matthew Cooper Keith (2001) (Correct)
....variability in the radiant appearance of the object surface. This includes the variability induced by changes in scene illumination, a notorious obstacle to object recognition using video imaging systems. Our work builds on the application of Karhunen Loeve (KL) methods in computer vision, e.g. [2, 3], automatic target recognition [4] and neuroanatomy, 5] We assume a Lambertian surface, and we model the diffuse radiance of the object surface, henceforth denoted the object signature, as a random field. This random field is indexed on a discrete set # of spatial locations on the object ....
....of the object surface, henceforth denoted the object signature, as a random field. This random field is indexed on a discrete set # of spatial locations on the object surface, geometrically specified by the three dimensional object template (e.g. CAD model of object geometry) As detailed in [3, 6], the space of images of an object under Corresponding author: cooper pal.xerox.com . varying illumination is accurately approximated by low dimensional linear subspaces. We extend these results to three dimensional rigid body object templates. For simplicity, we model the signature as a ....
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P. Belhumeur and D. Kreigman. What is the Set of Images of an Object under All Possible Illumination Conditions? Intl. J. Computer Vision, 28(3):1-16, 1998.
Low-Dimensional Representations of Shaded Surfaces under.. - Nillius, Eklundh (2003) (Correct)
....to real world scenes must be able to cope with variations in appearance caused by changes in the illumination. This is not an easy task. There is an infinite number of possible illuminations which results in an infinite number of possible appearances of an object. In fact, Belhumeur and Kriegman [2] show that the space of images of a convex Lambertian object under all possible lighting conditions is infinite dimensional. A step towards dealing with this problem is given by Basri and Jacobs [1] and Ramamoorthi and Hanrahan [10] They show that a Lambertian surface acts as a low pass filter ....
P. N. Belhumeur and D. J. Kriegman. What is the set of images of an object under all possible illumination conditions? Int. Journal of Computer Vision, 28(3):245--260, 1998.
Statistical Foreground Modelling for Object Localisation - Sullivan, Blake, Rittscher (2000) (11 citations) (Correct)
....will change a circular filter support S, and this generates some error. 4. 3 Light Source Modelling A family of templates I K is generated corresponding to K lighting conditions, and typically K = 4 to span a linear space of shadow free, Lambertian surfaces under variable lighting [5]. So the image data is can be modelled as I = TX (ff Delta I) n. Now the predicted filter outputs are defined to be z(x; X; ff) Wx ; TX (ff Delta I) k Omega I k ff k z k (x; X) 7) Illumination modelling in this way makes for better prediction allowing the ....
P.N. Belhumeur and D.J. Kriegman. What is the set of images of an object under all possible illumination conditions. Int. J. Computer Vision, 28(3):245--260, 1998.
Object Recognition by a Cascade Of Edge Probes - Carmichael, Hebert (2002) (3 citations) (Correct)
....in principle these systems could be trained to detect any of a variety of objects including cars and buildings. Many of these approaches formalize the recognition problem as one of modeling the appearance of a rectangular image patch circumscribing the object, across changes in pose[26] lighting[4], or other conditions. Thus, the recognition problem is reduced to examining a specific rectangular image template, and using its appearance to decide whether or not it is the bounding box around the image of the target object. Since the problem is formulated in terms of rectangular image ....
P. Belhumeur and D. Kriegman. What is the set of images of an object under all possible illumination conditions? IJCV, 28(3):245--260, 1998.
View-Subspace Analysis of Multi-View Face Patterns - Li, Lv, Zhang (Correct)
....as representations of multi view faces. 1 Introduction Detection and recognition of multi view faces require to model faces seen from various viewing points and under various illumination conditions. Much research has been done in recent years in dealing with view and illumination changes [8, 19, 13, 1, 4, 14, 40, 2, 5, 16, 11, 43, 21, 41]. It has been found that distributions of appearances in linear subspaces such as those based on principle component analysis (PCA) under perceivable variations in viewpoint, illumination are highly nonlinear, nonconvex, complex and perhaps twisted, and can hardly be well described by principle ....
P. N. Belhumeur and D. J. Kriegman. "What is the set of images of an object under all possible illumination conditions". IJCV, 28(3):245--260, July 1998.
Learning Low Dimensional Invariant Signature of 3-D Object.. - Stan Li Jie (2001) (Correct)
....encountered in traditional 3 D vision by modeling a 3 D object using its 2 D appearances. To facilitate tasks such as object detection and recognition, it is desirable to derive a representation which is invariant to changes in viewpoint and illumination. Much research has been done in this area [9, 18, 12, 1, 3, 13, 30, 2, 4, 15, 11, 37, 19, 31]. Finding illumination and viewpoint invariants is a hard problem. It has been shown that there are no illumination invariants for Lambertian surfaces [11] Distributions of appearances in linear subspaces, such as those based on principle component analysis (PCA) under perceivable variations in ....
P. N. Belhumeur and D. J. Kriegman. "What is the set of images of an object under all possible illumination conditions". IJCV, 28(3):245--260, July 1998.
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P. N. Belhumeur and D. J. Kriegman. What is the set of images of an object under all possible illumination conditions? International Journal of Computer Vision, 28(3), 1998.
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P. N. Belhumeur and D. J. Kriegman. What is the set of images of an object under all possible illumination conditions? IJCV, 28(3):245--260, 1998.
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Peter N. Belhumeur and David J. Kriegman. What is the set of images of an object under all possible illumination conditions. International Journal of Computer Vision, 28(3):245--260, July 1998.
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P. Belhumeur and D. J. Kriegman. What is the set of images of an object under all possible illumination conditions? IJCV, 28(3):245--260, 1998.
Face Alignment Under Variable Illumination - Yuchi Huang Stephen (2004) (Correct)
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P. Belhumeur and D. Kriegman. What Is the Set of Images of an Object under All Possible Illumination Conditions? Int. J. Comp. Vision, vol. 28, no. 3, pp. 245-260, 1998.
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P.N. Belhumeur and D.J. Kriegman. What is the set of images of an object under all possible illumination conditions. IJCV, 28(3):245--260, July 1998.
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P. Belhumeur and D. Kriegman. What is the set of images of an object under all possible illumination conditions? Int. Journal Comp. Vision, 28(3):1--16, 1998.
Face Alignment Under Variable Illumination - Yuchi Huang Stephen (2004) (Correct)
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P. Belhumeur and D. Kriegman. What Is the Set of Images of an Object under All Possible Illumination Conditions? Int. J. Comp. Vision, vol. 28, no. 3, pp. 245-260, 1998.
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P. Belhumeur and D. Kriegman. What is the set of images of an object under all possible illumination conditions? International Journal of Computer Vision, 28(3):245-- 260, 1998. 171
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Peter N. Belhumeur and David J. Kriegman. What is the set of images of an object under all possible illumination conditions? International Journal of Computer Vision, 28(3):1--16, 1998.
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P. N. Belhumeur and D. Kriegman. What is the set of images of an object under all possible illumination conditions? IJCV, 28(3):1--16, 1998.
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P. Belhumeur and D. Kriegman, "What Is the Set of Images of an Object under All Possible Illumination Conditions?" Int'l J. Computer Vision, vol. 28, no. 3, pp. 245-260, 1998.
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P. N. Belhumeur and D. J. Kriegman, "What is the set of images of an object under all possible illumination conditions?" International Journal of Computer Vision, vol. 28, no. 3, pp. 1--16, 1998.
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P. Belhumeur and D. Kriegman. What is the set of images of an object under all possible illumination conditions? International Journal of Computer Vision, 28(3):245--260, 1998.
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P. N. Belhumeur and D. J. Kriegman. What is the set of images of an object under all possible illumination conditions? IJCV, 28(3):245--260, 1998.
Color Eigenflows: Statistical Modeling of Joint Color Changes - Miller, Tieu (2001) (1 citation) (Correct)
No context found.
P. N. Belhumeur and D. Kriegman. What is the set of images of an object under all possible illumination conditions? International Journal of Computer Vision, 28(3):1--16, 1998.
Shape-based Recognition of Wiry Objects - Carmichael, Hebert (2003) (Correct)
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P. Belhumeur and D. Kriegman. What is the set of images of an object under all possible illumination conditions? IJCV, 28(3):245--260, 1998.
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