Alan R. Pinkus - Academia.edu (original) (raw)

Papers by Alan R. Pinkus

Computationally enhanced image recognition device

Vehicular deceleration-responsive center high-mounted stoplight

Stochastic Resonance Investigation of Object Detection in Images

Stochastic resonance investigation of object detection in images. [Proceedings of SPIE 6497, 6497... more Stochastic resonance investigation of object detection in images. [Proceedings of SPIE 6497, 649703 (2007)]. Daniel W. Repperger, Alan R. Pinkus, Julie A. Skipper, Christina D. Schrider. Abstract. Object detection in images was ...

Computationally enhanced image recognition system

Object Recognition via Information-Theoretic Measures/Metrics

Object recognition via information-theoretic measures/metrics. [Proceedings of SPIE 6498, 64980Z ... more Object recognition via information-theoretic measures/metrics. [Proceedings of SPIE 6498, 64980Z (2007)]. Daniel W. Repperger, Alan R. Pinkus, Julie A. Skipper, Christina D. Schrider. Abstract. Discrimination of friendly or hostile ...

Night vision goggle ambient illumination testing

Visual object identification by computational majority voting

Target image registration and fusion

Image enhancement using object profiling

Programmable airdrop infrared decoy

Night vision device wavelength test pattern

Dynamic image registration

Helicopter brown-out landing

Computer Vision Studies Using Stochastic Resonance/Information-theoretic Methods

2007 International Symposium on Computational Intelligence in Robotics and Automation, 2007

An investigation into computer vision techniques is conducted using a procedure from nonlinear dy... more An investigation into computer vision techniques is conducted using a procedure from nonlinear dynamics termed "stochastic resonance." This work involves concepts from detection theory, information theory and nonlinear dynamics. An information distance metric is synthesized which helps define the dependent measure to be used with the stochastic resonance optimization. Monte Carlo simulations show the efficacy of the proposed method. A class of test objects are presented to fairly evaluate the utility of the proposed methods introduced.

Computational Imaging V, 2007

Discrimination of friendly or hostile objects is investigated using information-theory measures/m... more Discrimination of friendly or hostile objects is investigated using information-theory measures/metric in an image which has been compromised by a number of factors. In aerial military images, objects with different orientations can be reasonably approximated by a single identification signature consisting of the average histogram of the object under rotations. Three different information-theoretic measures/metrics are studied as possible criteria to help classify the objects. The first measure is the standard mutual information (MI) between the sampled object and the library object signatures. A second measure is based on information efficiency, which differs from MI. Finally an information distance metric is employed which determines the distance, in an information sense, between the sampled object and the library object. It is shown that the three (parsimonious) information-theoretic variables introduced here form an independent basis in the sense that any variable in the information channel can be uniquely expressed in terms of the three parameters introduced here. The methodology discussed is tested on a sample set of standardized images to evaluate their efficacy. A performance standardization methodology is presented which is based on manipulation of contrast, brightness, and size attributes of the sample objects of interest.

Image Processing: Algorithms and Systems V, 2007

Object detection in images was conducted using a nonlinear means of improving signal to noise rat... more Object detection in images was conducted using a nonlinear means of improving signal to noise ratio termed "stochastic resonance" (SR). In a recent United States patent application, it was shown that arbitrarily large signal to noise ratio gains could be realized when a signal detection problem is cast within the context of a SR filter. Signal-to-noise ratio measures were investigated.

The Spatiotemporal Characteristics of Visual Motion Priming

The Effects of Color and Contrast on Target Recognition Performance Using Monochromatic Television Displays

Automatic landolt C gap detection software architecture for image quality analysis

A Comparison of Landolt C and triangle resolution targets using the synthetic observer approach to sensor resolution assessment

Proceedings of Spie the International Society For Optical Engineering, May 1, 2012

ABSTRACT Resolution is often provided as one of the key parameters addressing the quality capabil... more ABSTRACT Resolution is often provided as one of the key parameters addressing the quality capability of a sensor. One traditional approach to determining the resolution of a sensor/display system is to use a resolution target pattern to find the smallest target size for which the critical target element can be "resolved" using the sensor/display system, which usually requires a human in the loop to make the assessment. In previous SPIE papers we reported on a synthetic observer approach to determining the point at which a Landolt C resolution target was resolved; a technique with marginal success when compared to human observers. This paper compares the results of the previously developed synthetic observer approach using a Landolt C with a new synthetic observer approach based on Triangle Orientation Detection (TOD). A large collection of multi-spectral (visible, near infra-red, and thermal) sensor images of triangle and Landolt C resolution targets were recorded at a wide range of distances. Each image contained both the triangle and the Landolt C resolution targets as well as a person holding a weapon or other object. The images were analyzed using the two different synthetic observer approaches, one for triangles and one for Landolt Cs, and the results compared with each other for the three different sensors. This paper describes the results and planned future effort to compare the results with human visual performance for both the resolution targets and for the hand-held objects.

Computationally enhanced image recognition device

Vehicular deceleration-responsive center high-mounted stoplight

Stochastic Resonance Investigation of Object Detection in Images

Stochastic resonance investigation of object detection in images. [Proceedings of SPIE 6497, 6497... more Stochastic resonance investigation of object detection in images. [Proceedings of SPIE 6497, 649703 (2007)]. Daniel W. Repperger, Alan R. Pinkus, Julie A. Skipper, Christina D. Schrider. Abstract. Object detection in images was ...

Computationally enhanced image recognition system

Object Recognition via Information-Theoretic Measures/Metrics

Object recognition via information-theoretic measures/metrics. [Proceedings of SPIE 6498, 64980Z ... more Object recognition via information-theoretic measures/metrics. [Proceedings of SPIE 6498, 64980Z (2007)]. Daniel W. Repperger, Alan R. Pinkus, Julie A. Skipper, Christina D. Schrider. Abstract. Discrimination of friendly or hostile ...

Night vision goggle ambient illumination testing

Visual object identification by computational majority voting

Target image registration and fusion

Image enhancement using object profiling

Programmable airdrop infrared decoy

Night vision device wavelength test pattern

Dynamic image registration

Helicopter brown-out landing

Computer Vision Studies Using Stochastic Resonance/Information-theoretic Methods

2007 International Symposium on Computational Intelligence in Robotics and Automation, 2007

An investigation into computer vision techniques is conducted using a procedure from nonlinear dy... more An investigation into computer vision techniques is conducted using a procedure from nonlinear dynamics termed "stochastic resonance." This work involves concepts from detection theory, information theory and nonlinear dynamics. An information distance metric is synthesized which helps define the dependent measure to be used with the stochastic resonance optimization. Monte Carlo simulations show the efficacy of the proposed method. A class of test objects are presented to fairly evaluate the utility of the proposed methods introduced.

Computational Imaging V, 2007

Discrimination of friendly or hostile objects is investigated using information-theory measures/m... more Discrimination of friendly or hostile objects is investigated using information-theory measures/metric in an image which has been compromised by a number of factors. In aerial military images, objects with different orientations can be reasonably approximated by a single identification signature consisting of the average histogram of the object under rotations. Three different information-theoretic measures/metrics are studied as possible criteria to help classify the objects. The first measure is the standard mutual information (MI) between the sampled object and the library object signatures. A second measure is based on information efficiency, which differs from MI. Finally an information distance metric is employed which determines the distance, in an information sense, between the sampled object and the library object. It is shown that the three (parsimonious) information-theoretic variables introduced here form an independent basis in the sense that any variable in the information channel can be uniquely expressed in terms of the three parameters introduced here. The methodology discussed is tested on a sample set of standardized images to evaluate their efficacy. A performance standardization methodology is presented which is based on manipulation of contrast, brightness, and size attributes of the sample objects of interest.

Image Processing: Algorithms and Systems V, 2007

Object detection in images was conducted using a nonlinear means of improving signal to noise rat... more Object detection in images was conducted using a nonlinear means of improving signal to noise ratio termed "stochastic resonance" (SR). In a recent United States patent application, it was shown that arbitrarily large signal to noise ratio gains could be realized when a signal detection problem is cast within the context of a SR filter. Signal-to-noise ratio measures were investigated.

The Spatiotemporal Characteristics of Visual Motion Priming

The Effects of Color and Contrast on Target Recognition Performance Using Monochromatic Television Displays

Automatic landolt C gap detection software architecture for image quality analysis

A Comparison of Landolt C and triangle resolution targets using the synthetic observer approach to sensor resolution assessment

Proceedings of Spie the International Society For Optical Engineering, May 1, 2012

ABSTRACT Resolution is often provided as one of the key parameters addressing the quality capabil... more ABSTRACT Resolution is often provided as one of the key parameters addressing the quality capability of a sensor. One traditional approach to determining the resolution of a sensor/display system is to use a resolution target pattern to find the smallest target size for which the critical target element can be "resolved" using the sensor/display system, which usually requires a human in the loop to make the assessment. In previous SPIE papers we reported on a synthetic observer approach to determining the point at which a Landolt C resolution target was resolved; a technique with marginal success when compared to human observers. This paper compares the results of the previously developed synthetic observer approach using a Landolt C with a new synthetic observer approach based on Triangle Orientation Detection (TOD). A large collection of multi-spectral (visible, near infra-red, and thermal) sensor images of triangle and Landolt C resolution targets were recorded at a wide range of distances. Each image contained both the triangle and the Landolt C resolution targets as well as a person holding a weapon or other object. The images were analyzed using the two different synthetic observer approaches, one for triangles and one for Landolt Cs, and the results compared with each other for the three different sensors. This paper describes the results and planned future effort to compare the results with human visual performance for both the resolution targets and for the hand-held objects.