Journal articles

• S. Antani, D. Crandall, and R. Kasturi. Evaluation of methods for extraction of text from video. International Journal of Document Analysis and Recognition, to appear.
• D. Crandall and J. Luo. Robust color object detection using spatial-color joint probability functions. IEEE Transactions on Image Processing, 15(6):1443–1453, 2006.
• J. Luo, D. Crandall, A. Singhal, M. Boutell, and R. Gray. Psychophysical study of image orientation perception. Spatial Vision, pages 429–456, 2003.
• D. Crandall, S. Antani, and R. Kasturi. Extraction of special effects caption text events from digital video. International Journal of Document Analysis and Recognition, 5(2-3):138–157, 2002.

Book chapters

• D. Crandall, P. Felzenszwalb, and D. Huttenlocher. Object recognition by combining appearance and geometry. In Toward Category-Level Object Recognition. Springer, 2007.

Refereed conference papers

• D. Crandall, D. Cosley, D. Huttenlocher, J. Kleinberg, and S. Suri. Feedback effects between similarity and social influence in online communities. In ACM International Conference on Knowledge Discovery and Data Mining, 2008.
• D. Crandall and D. Huttenlocher. Composite models of objects and scenes for category recognition. In IEEE Conference on Computer Vision and Pattern Recognition, 2007.
• D. Crandall and D. Huttenlocher. Weakly supervised learning of part-based spatial models for visual object recognition. In European Conference on Computer Vision, 2006.
• D. Crandall, P. Felzenszwalb, and D. Huttenlocher. Spatial priors for part-based recognition using statistical models. In IEEE Conference on Computer Vision and Pattern Recognition, 2005.
• D. Crandall and J. Luo. Robust color object detection using spatial-color joint probability functions. In IEEE Conference on Computer Vision and Pattern Recognition, 2004.
• D. Crandall and R. Kasturi. Robust detection of stylized text events in digital video. In IAPR International Conference on Document Analysis and Recognition, 2001.
• S. Antani, D. Crandall, and R. Kasturi. Robust extraction of text in video. In IAPR International Conference on Pattern Recognition, 2000.
• U. Gargi, D. Crandall, S. Antani, and R. Kasturi. A system for automatic text detection in video. In IAPR International Conference on Document Analysis and Recognition, 1999.

Other conference and workshop papers

• J. Luo, A. Singhal, D. Crandall, and R.T. Gray. A psychophysical study of image orientation determination. In SPIE Conference on Human Vision and Image Processing, 2003.
• R. Kasturi, S. Antani, and D. Crandall. A framework for reliable text-based indexing of video. In Symposium on Document Image Understanding Technology, 2001.
• S. Antani, D. Crandall, A. Narasimamurthy, Y. Mariano, and R. Kasturi. Evaluation of methods for extraction of text from video. In IAPR Workshop on Document Analysis Systems, 2000.

Theses

• D. Crandall. Part-based Statistical Models for Visual Object Class Recognition. PhD thesis, Cornell University, 2008.
• D. Crandall. Extraction of unconstrained caption text from general-purpose video. Master's thesis, The Pennsylvania State University, 2001.

Patents

• J. Luo and D. Crandall. Method for detecting objects in digital images, U.S. Patent #7,035,461, European Patent #1,394,723, issued 2006.
• D. Crandall and J. Luo. Method for detecting color objects in digital images, U.S. Patent #7,263,220, European Patent #1,452,995, Japanese Patent #2004265407, issued 2007.

Technical reports

• D. Crandall. Initial candidate detection for lung nodule segmentation. Technical report, Eastman Kodak Company, Rochester, NY, 2003.
• D. Crandall. RegionGT: A segmentation-based ground truth tool. Technical report, Eastman Kodak Company, Rochester, NY, 2003.
• D. Crandall and J. Luo. Compound color object detection using spatial-color joint probability functions. Technical report, Eastman Kodak Company, Rochester, NY, 2003.
• D. Crandall. A C++ wavelet decomposition library in IEM. Technical Report 331056F, Eastman Kodak Company, Rochester, NY, 2002.
• D. Crandall. Further lessons learned from the WOO2.1 whole-order orientation algorithm. Technical Report 329189V, Eastman Kodak Company, Rochester, NY, 2002.
• D. Crandall. Guide to training, testing, and using the WOO2.1 whole-order orientation algorithm. Technical Report 329190P, Eastman Kodak Company, Rochester, NY, 2002.
• D. Crandall. A neural network library in C++, and rudiments of an abstract classifier class. Technical Report 331055E, Eastman Kodak Company, Rochester, NY, 2002.
• D. Crandall and J. Luo. AREA 3.5: Improved automatic red eye reduction algorithm based on improved segmentation. Technical Report 330555Y, Eastman Kodak Company, Rochester, NY, 2002.
• D. Crandall and J. Luo. Shape-based segmentation for detecting articulated human figures in images. Technical Report 328988D, Eastman Kodak Company, Rochester, NY, 2002.
• J. Luo, D. Crandall, and A. Singhal. A psychophysical study of image orientation perception. Technical Report 331287B, Eastman Kodak Company, Rochester, NY, 2002.
• S. Antani, D. Crandall, V. Mariano, A. Narasimhamurthy, and R. Kasturi. Reliable extraction of text in video. Technical Report CSE-00-022, Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA, 2000.
• S. Antani, U. Gargi, D. Crandall, T. Gandhi, and R. Kasturi. Extraction of text in video. Technical Report CSE-99-016, Department of Computer Science and Engineering, The Pennsylvania State University, University Park, PA, 1999.