Pawan K Baheti

Summary

Affiliation: University of Arizona
Country: USA

Publications

  1. ncbi request reprint Feature-specific structured imaging
    Pawan K Baheti
    Department of Electrical and Computer Engineering, Optical Sciences Center, University of Arizona, Tucson, Arizona 85721, USA
    Appl Opt 45:7382-91. 2006
  2. ncbi request reprint Adaptive feature-specific imaging: a face recognition example
    Pawan K Baheti
    Department of Electrical and Computer Engineering, University of Arizona, Tucson, Arizona 85721, USA
    Appl Opt 47:B21-31. 2008
  3. ncbi request reprint Random projections based feature-specific structured imaging
    Pawan K Baheti
    Department of Electrical and Computer Engineering, 1230 East Speedway Boulevard, University of Arizona, Tucson, Arizona 85721, USA
    Opt Express 16:1764-76. 2008
  4. ncbi request reprint Recognition using information-optimal adaptive feature-specific imaging
    Pawan K Baheti
    Department of Electrical and Computer Engineering, 1230 East Speedway Boulevard, University of Arizona, Tucson, Arizona 85721, USA
    J Opt Soc Am A Opt Image Sci Vis 26:1055-70. 2009

Detail Information

Publications4

  1. ncbi request reprint Feature-specific structured imaging
    Pawan K Baheti
    Department of Electrical and Computer Engineering, Optical Sciences Center, University of Arizona, Tucson, Arizona 85721, USA
    Appl Opt 45:7382-91. 2006
    ..Experimental results validate these theoretical predictions...
  2. ncbi request reprint Adaptive feature-specific imaging: a face recognition example
    Pawan K Baheti
    Department of Electrical and Computer Engineering, University of Arizona, Tucson, Arizona 85721, USA
    Appl Opt 47:B21-31. 2008
    ..We also show a trade-off, in terms of average detection time, between measurement SNR and adaptation advantage, resulting in an optimal value of integration time (equivalent to SNR) per measurement...
  3. ncbi request reprint Random projections based feature-specific structured imaging
    Pawan K Baheti
    Department of Electrical and Computer Engineering, 1230 East Speedway Boulevard, University of Arizona, Tucson, Arizona 85721, USA
    Opt Express 16:1764-76. 2008
    ..The experimental reconstructions show the feasibility of the proposed approach by using 42% fewer measurements than the object dimensionality...
  4. ncbi request reprint Recognition using information-optimal adaptive feature-specific imaging
    Pawan K Baheti
    Department of Electrical and Computer Engineering, 1230 East Speedway Boulevard, University of Arizona, Tucson, Arizona 85721, USA
    J Opt Soc Am A Opt Image Sci Vis 26:1055-70. 2009
    ..We also describe an extension of the proposed method that is suitable for recognition in the presence of nuisance parameters such as illumination conditions and target orientations...