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Physical Sciences and Mathematics Commons

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Full-Text Articles in Physical Sciences and Mathematics

Learning To Identify Depth Edges In Real-World Images With 3d Ground Truth, Krista A. Ehinger, Kevin T. Joseph, Wendy J. Adams, Erich W. Graf, James H. Elder May 2017

Learning To Identify Depth Edges In Real-World Images With 3d Ground Truth, Krista A. Ehinger, Kevin T. Joseph, Wendy J. Adams, Erich W. Graf, James H. Elder

MODVIS Workshop

No abstract provided.


Scoring Scene Symmetry, Morteza Rezanejad, John D. Wilder, Sven Dickinson, Allan Jepson, Dirk B. Walther, Kaleem Siddiqi May 2017

Scoring Scene Symmetry, Morteza Rezanejad, John D. Wilder, Sven Dickinson, Allan Jepson, Dirk B. Walther, Kaleem Siddiqi

MODVIS Workshop

No abstract provided.


Large-Scale Discovery Of Visual Features For Object Recognition, Drew Linsley, Sven Eberhardt, Dan Shiebler, Thomas Serre May 2017

Large-Scale Discovery Of Visual Features For Object Recognition, Drew Linsley, Sven Eberhardt, Dan Shiebler, Thomas Serre

MODVIS Workshop

A central goal in vision science is to identify features that are important for object and scene recognition. Reverse correlation methods have been used to uncover features important for recognizing faces and other stimuli with low intra-class variability. However, these methods are less successful when applied to natural scenes with variability in their appearance.

To rectify this, we developed Clicktionary, a web-based game for identifying features for recognizing real-world objects. Pairs of participants play together in different roles to identify objects: A “teacher” reveals image regions diagnostic of the object’s category while a “student” tries to recognize the object. Aggregating …