Search Results - "Belhumeur, Peter N."

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  1. 1

    Localizing Parts of Faces Using a Consensus of Exemplars by Belhumeur, Peter N., Jacobs, David W., Kriegman, David J., Kumar, Neeraj

    “…We present a novel approach to localizing parts in images of human faces. The approach combines the output of local detectors with a nonparametric set of…”
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    Journal Article
  2. 2

    Attribute and simile classifiers for face verification by Kumar, Neeraj, Berg, Alexander C, Belhumeur, Peter N, Nayar, Shree K

    “…We present two novel methods for face verification. Our first method - "attribute" classifiers - uses binary classifiers trained to recognize the presence or…”
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    Conference Proceeding
  3. 3

    What is the set of images of an object under all possible illumination conditions ? by BELHUMEUR, P. N, KRIEGMAN, D. J

    Published in International journal of computer vision (01-07-1998)
    “…The appearance of an object depends on both the viewpoint from which it is observed and the light sources by which it is illuminated. If the appearance of two…”
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    Journal Article
  4. 4

    Graphical properties of easily localizable sensor networks by Anderson, Brian D. O., Belhumeur, Peter N., Eren, Tolga, Goldenberg, David K., Morse, A. Stephen, Whiteley, Walter, Yang, Y. Richard

    Published in Wireless networks (01-02-2009)
    “…The sensor network localization problem is one of determining the Euclidean positions of all sensors in a network given knowledge of the Euclidean positions of…”
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    Journal Article
  5. 5

    Describable Visual Attributes for Face Verification and Image Search by Kumar, N., Berg, A., Belhumeur, P. N., Nayar, S.

    “…We introduce the use of describable visual attributes for face verification and image search. Describable visual attributes are labels that can be given to an…”
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    Journal Article
  6. 6

    Bird Part Localization Using Exemplar-Based Models with Enforced Pose and Subcategory Consistency by Jiongxin Liu, Belhumeur, Peter N.

    “…In this paper, we propose a novel approach for bird part localization, targeting fine-grained categories with wide variations in appearance due to different…”
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    Conference Proceeding Journal Article
  7. 7

    How Do You Tell a Blackbird from a Crow? by Berg, Thomas, Belhumeur, Peter N.

    “…How do you tell a blackbird from a crow? There has been great progress toward automatic methods for visual recognition, including fine-grained visual…”
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    Conference Proceeding Journal Article
  8. 8

    Citizen Science and Climate Change: Mapping the Range Expansions of Native and Exotic Plants with the Mobile App Leafsnap by KRESS, W. JOHN, GARCIA-ROBLEDO, CARLOS, SOARES, JOÃO V. B., JACOBS, DAVID, WILSON, KATHARINE, LOPEZ, IDA C., BELHUMEUR, PETER N.

    Published in Bioscience (01-05-2018)
    “…The mobile iPhone app Leafsnap, designed for the automatic identification of 220 tree species from the northeastern United States, was released to the public…”
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    Journal Article
  9. 9

    Birdsnap: Large-Scale Fine-Grained Visual Categorization of Birds by Berg, Thomas, Jiongxin Liu, Seung Woo Lee, Alexander, Michelle L., Jacobs, David W., Belhumeur, Peter N.

    “…We address the problem of large-scale fine-grained visual categorization, describing new methods we have used to produce an online field guide to 500 North…”
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    Conference Proceeding
  10. 10

    Compressive Structured Light for Recovering Inhomogeneous Participating Media by Jinwei Gu, Nayar, S. K., Grinspun, E., Belhumeur, P. N., Ramamoorthi, R.

    “…We propose a new method named compressive structured light for recovering inhomogeneous participating media. Whereas conventional structured light methods emit…”
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    Journal Article
  11. 11

    Stochastic Dynamics for Video Infilling by Xu, Qiangeng, Zhang, Hanwang, Wang, Weiyue, Belhumeur, Peter N., Neumann, Ulrich

    “…In this paper, we introduce a stochastic dynamics video infilling (SDVI) framework to generate frames between long intervals in a video. Our task differs from…”
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    Conference Proceeding
  12. 12

    Multiplexing for Optimal Lighting by Schechner, Y.Y., Nayar, S.K., Belhumeur, P.N.

    “…Imaging of objects under variable lighting directions is an important and frequent practice in computer vision, machine vision, and image-based rendering…”
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    Journal Article
  13. 13

    Color Subspaces as Photometric Invariants by Zickler, Todd, Mallick, Satya P., Kriegman, David J., Belhumeur, Peter N.

    Published in International journal of computer vision (01-08-2008)
    “…Complex reflectance phenomena such as specular reflections confound many vision problems since they produce image ‘features’ that do not correspond directly to…”
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    Journal Article
  14. 14

    Efficient region tracking with parametric models of geometry and illumination by Hager, G.D., Belhumeur, P.N.

    “…As an object moves through the field of view of a camera, the images of the object may change dramatically. This is not simply due to the translation of the…”
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    Journal Article
  15. 15

    The Bas-Relief Ambiguity by Belhumeur, Peter N, Kriegman, David J, Yuille, Alan L

    Published in International journal of computer vision (01-11-1999)
    “…When an unknown object with Lambertian reflectance is viewed orthographically, there is an implicit ambiguity in determining its 3-d structure: we show that…”
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    Journal Article
  16. 16

    In search of illumination invariants by Chen, H.F., Belhumeur, P.N., Jacobs, D.W.

    “…We consider the problem of determining functions of an image of an object that are insensitive to illumination changes. We first show that for an object with…”
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    Conference Proceeding
  17. 17

    Reflectance sharing: predicting appearance from a sparse set of images of a known shape by Zickler, T., Ramamoorthi, R., Enrique, S., Belhumeur, P.N.

    “…Three-dimensional appearance models consisting of spatially varying reflectance functions defined on a known shape can be used in analysis-by-synthesis…”
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    Journal Article
  18. 18

    Helmholtz Stereopsis: Exploiting Reciprocity for Surface Reconstruction by Zickler, Todd E, Belhumeur, Peter N, Kriegman, David J

    Published in International journal of computer vision (01-09-2002)
    “…We present a method--termed Helmholtz stereopsis--for reconstructing the geometry of objects from a collection of images. Unlike existing methods for surface…”
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    Journal Article
  19. 19

    A Bayesian approach to binocular stereopsis by BELHUMEUR, P. N

    “…We develop a computational model for binocular stereopsis, attempting to explain the process by which the information detailing the 3-D geometry of object…”
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    Journal Article
  20. 20

    Time-Varying BRDFs by Sun, Bo, Sunkavalli, Kalyan, Ramamoorthi, Ravi, Belhumeur, Peter N., Nayar, Shree K.

    “…The properties of virtually all real-world materials change with time, causing their bidirectional reflectance distribution functions (BRDFs) to be time…”
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    Journal Article