Search Results - "Drew, M.S."

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  1. 1

    On the removal of shadows from images by Finlayson, G.D., Hordley, S.D., Cheng Lu, Drew, M.S.

    “…This paper is concerned with the derivation of a progression of shadow-free image representations. First, we show that adopting certain assumptions about…”
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    Journal Article
  2. 2

    Matching by Linear Programming and Successive Convexification by Hao Jiang, Drew, M.S., Ze-Nian Li

    “…We present a novel convex programming scheme to solve matching problems, focusing on the challenging problem of matching in a large search range and with…”
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    Journal Article
  3. 3

    Review and Preview: Disocclusion by Inpainting for Image-Based Rendering by Tauber, Z., Ze-Nian Li, Drew, M.S.

    “…Image-based rendering takes as input multiple images of an object and generates photorealistic images from novel viewpoints. This approach avoids explicitly…”
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    Journal Article
  4. 4

    A practical approach to spectral volume rendering by Bergner, S., Moller, T., Tory, M., Drew, M.S.

    “…To make a spectral representation of color practicable for volume rendering, a new low-dimensional subspace method is used to act as the carrier of spectral…”
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    Journal Article
  5. 5

    Color space analysis of mutual illumination by Funt, B.V., Drew, M.S.

    “…Mutual illumination occurs when light reflected from one surface impinges on a second one. The resulting additional illumination incident on the second surface…”
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    Journal Article
  6. 6

    Unsupervised Discovery of Action Classes by Yang Wang, Hao Jiang, Drew, M.S., Ze-Nian Li, Mori, G.

    “…In this paper we consider the problem of describing the action being performed by human figures in still images. We will attack this problem using an…”
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    Conference Proceeding
  7. 7

    Action Detection in Cluttered Video With Successive Convex Matching by Hao Jiang, Drew, M.S., Ze-Nian Li

    “…We propose a novel successive convex matching method for human action detection in cluttered video. Human actions are represented as sequences of poses, and…”
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    Journal Article
  8. 8

    Detecting Illumination in Images by Finlayson, G., Fredembach, C., Drew, M.S.

    “…In this paper we present a surprisingly simple yet powerful method for detecting illumination-determining which pixels are lit by different lights-in images…”
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    Conference Proceeding
  9. 9

    Successive Convex Matching for Action Detection by Hao Jiang, Drew, M.S., Ze-Nian Li

    “…We propose human action detection based on a successive convex matching scheme. Human actions are represented as sequences of postures and specific actions are…”
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    Conference Proceeding
  10. 10

    Realistic colorization via the structure tensor by Drew, M.S., Finlayson, G.D.

    “…Colorization is a user-assisted color manipulation mechanism for changing grayscale images into colored ones. Several colorization algorithms have been…”
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    Conference Proceeding
  11. 11

    Idle time: an underdeveloped performance metric for assessing surgical skill by D'Angelo, Anne-Lise D., M.D, Rutherford, Drew N., M.S, Ray, Rebecca D., Ph.D, Laufer, Shlomi, Ph.D, Kwan, Calvin, B.S, Cohen, Elaine R., M.Ed, Mason, Andrea, Ph.D, Pugh, Carla M., M.D., Ph.D

    Published in The American journal of surgery (01-04-2015)
    “…Abstract Background The aim of this study was to evaluate validity evidence using idle time as a performance measure in open surgical skills assessment…”
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    Journal Article
  12. 12

    Working volume: validity evidence for a motion-based metric of surgical efficiency by D'Angelo, Anne-Lise D., M.D, Rutherford, Drew N., M.S, Ray, Rebecca D., Ph.D, Laufer, Shlomi, Ph.D, Mason, Andrea, Ph.D, Pugh, Carla M., M.D., Ph.D

    Published in The American journal of surgery (01-02-2016)
    “…Abstract Background The aim of this study was to evaluate working volume as a potential assessment metric for open surgical tasks. Methods Surgical attendings…”
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    Journal Article
  13. 13

    A predictive contour inertia snake model for general video tracking by Hao Jiang, Drew, M.S.

    “…We present a modified snake model for the problem of general video object tracking. We introduce a new external force into the snake equation based on the…”
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    Conference Proceeding
  14. 14

    A fast method for classifying surface textures by Salahuddin, M., Drew, M.S., Ze-Nian Li

    “…Surface texture classification is an important aspect of computer vision and a well studied problem. In this paper, we greatly increase speed for texture…”
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    Conference Proceeding
  15. 15

    Error tolerance: an evaluation of residents' repeated motor coordination errors by Law, Katherine E., M.S, Gwillim, Eran C., M.D, Ray, Rebecca D., Ph.D, D'Angelo, Anne-Lise D., M.D, Cohen, Elaine R., M.Ed, Fiers, Rebekah M., B.S, Rutherford, Drew N., M.S, Pugh, Carla M., M.D., Ph.D

    Published in The American journal of surgery (01-10-2016)
    “…Abstract Background The study investigates the relationship between motor coordination errors and total errors using a human factors framework. We hypothesize…”
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    Journal Article
  16. 16

    Spatiotemporal-chromatic structure of natural scenes by Bergner, S., Drew, M.S.

    “…We investigate the implications of a unified spatiotemporal-chromatic basis for compression and reconstruction of image sequences. Different adaptive methods…”
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    Conference Proceeding
  17. 17
  18. 18

    Recognizing Posture in Pictures with Successive Convexification and Linear Programming by Hao Jiang, Ze-Nian Li, Drew, M.S.

    Published in IEEE multimedia (01-04-2007)
    “…A proposed image-matching method uses successive convexification for recognizing human postures in cluttered images and videos. Using local image features, the…”
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    Magazine Article
  19. 19

    Full search content independent block matching based on the fast Fourier transform by Kilthau, S.L., Drew, M.S., Moller, T.

    “…We present a new algorithm for solving the block matching problem which is independent of image content and is faster than other full-search methods. The…”
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    Conference Proceeding
  20. 20

    Convex Quadratic Programming for Object Localization by Hao Jiang, Drew, M.S., Ze-Nian Li

    “…We set out an object localization scheme based on a convex programming matching method. The proposed approach is designed to match general objects, especially…”
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    Conference Proceeding