Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
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
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
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
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 …