App for Programmable Camera in Android - Revision history

imported>Slansel: /* Ronnie Instrella */

2014-03-21T22:48:58Z

Ronnie Instrella

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	==Ronnie Instrella==		==Ronnie Instrella==
	Ronnie Instrella implemented and tested most of the digital image processing algorithms, including Color Selection for Light Trail and Painting with Light, as well as the motion capture algorithm. He was also responsible for redesigning the app’s new user interface, adding all of the buttons, pop-up messages and altered user menus. He also met with Steve Lansel ~~from Olympus~~ to give progress reports and updates. Ronnie created the final presentation slides, which are available as a PDF file Appendix I.		Ronnie Instrella implemented and tested most of the digital image processing algorithms, including Color Selection for Light Trail and Painting with Light, as well as the motion capture algorithm. He was also responsible for redesigning the app’s new user interface, adding all of the buttons, pop-up messages and altered user menus. He also met with Steve Lansel to give progress reports and updates. Ronnie created the final presentation slides, which are available as a PDF file Appendix I.

imported>Slansel: /* Code */

2014-03-21T22:48:39Z

Code

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	In the belief that the techniques used may be illustrated best by example, the MATLAB code used to perform the image altering is available below along with sample data from the project.		In the belief that the techniques used may be illustrated best by example, the MATLAB code used to perform the image altering is available below along with sample data from the project.
	==Code==		==Code==
	~~The~~ code for most of our app, BaseCamA~~, cannot be uploaded due to signed agreements with Olympus~~. For more information on this code, please contact, Steven Lansel ~~at Steven.Lansel@olympus.com~~ .		We are restricted from sharing the code for most of our app, BaseCamA. For more information on this code, please contact, Steven Lansel.

	However, the code written on MATLAB can be shown.		However, the code written on MATLAB can be shown.

imported>Slansel: /* Montage (Motion Capture) */

2014-03-21T22:45:58Z

Montage (Motion Capture)

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	Overall, our algorithm properly identified and superimposed a moving subject on a designated image background, although areas near the edges were sometimes incomplete; for instance, some areas near the subject’s shoes and hands were missing. The total number of objects within the resulting image could also be altered; a few examples of this feature are shown to the left. In future implementations of this algorithm, we hope to add an option that allow users to vary the number of objects within the final image. This way, the user can create a customized picture based on the chosen shutter speed and the speed of the moving object.		Overall, our algorithm properly identified and superimposed a moving subject on a designated image background, although areas near the edges were sometimes incomplete; for instance, some areas near the subject’s shoes and hands were missing. The total number of objects within the resulting image could also be altered; a few examples of this feature are shown to the left. In future implementations of this algorithm, we hope to add an option that allow users to vary the number of objects within the final image. This way, the user can create a customized picture based on the chosen shutter speed and the speed of the moving object.

	It is important to note that our group could not take successive photos (continuous shooting) using the ~~Olympus~~ programmable camera, and therefore did not implement this feature onto the app itself. The following images were taken using a standard DSLR camera, and the image processing algorithm was implemented and tested in MATLAB. The code for these algorithms are available online.		It is important to note that our group could not take successive photos (continuous shooting) using the provided programmable camera, and therefore did not implement this feature onto the app itself. The following images were taken using a standard DSLR camera, and the image processing algorithm was implemented and tested in MATLAB. The code for these algorithms are available online.

	= Conclusions =		= Conclusions =

imported>Slansel: /* Equipment and Software Development */

2014-03-21T22:45:40Z

Equipment and Software Development

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	== Equipment and Software Development ==		== Equipment and Software Development ==
	All of the equipment and software development tools used in this project were provided ~~by Olympus~~. The app was built upon existing Android software, and was implemented on a 10.1 inch Sony Xperia Z tablet. An experimental programmable ~~Olympus~~ camera was also provided and used for testing purposes. The camera projects a wifi signal that connects wirelessly to the tablet. The existing Android software includes code to handle network connectivity and hard drive storage associated with the camera. The provided software also includes code that captures photos, and buttons to change the camera settings on a simple user interface. The work of this project was to supplement this code with a redesigned user interface and simple image processing features that could allow users to easily take advantage of the camera’s capabilities.		All of the equipment and software development tools used in this project were provided. The app was built upon existing Android software, and was implemented on a 10.1 inch Sony Xperia Z tablet. An experimental programmable camera was also provided and used for testing purposes. The camera projects a wifi signal that connects wirelessly to the tablet. The existing Android software includes code to handle network connectivity and hard drive storage associated with the camera. The provided software also includes code that captures photos, and buttons to change the camera settings on a simple user interface. The work of this project was to supplement this code with a redesigned user interface and simple image processing features that could allow users to easily take advantage of the camera’s capabilities.

	The presented image processing algorithms were originally developed and tested using MATLAB 2013b. Image thresholding, motion blur and painting with light were implemented in Java using Android Studio. The thresholding algorithm was written with the help of the Catalano-Framework, an open course framework that includes an free image processing toolbox for Java and Android applications. This toolbox was imported into the existing software and includes a large library of image processing functions, many of which could be used to develop more features for future versions of BaseCamA. It is worth noting that the motion capture feature was not implemented directly on the app. All of the presented results using this algorithm were produced in MATLAB. This was due to difficulties using continuous shooting (burst shots) on the programmable camera, which is necessary for creating this type of photo.		The presented image processing algorithms were originally developed and tested using MATLAB 2013b. Image thresholding, motion blur and painting with light were implemented in Java using Android Studio. The thresholding algorithm was written with the help of the Catalano-Framework, an open course framework that includes an free image processing toolbox for Java and Android applications. This toolbox was imported into the existing software and includes a large library of image processing functions, many of which could be used to develop more features for future versions of BaseCamA. It is worth noting that the motion capture feature was not implemented directly on the app. All of the presented results using this algorithm were produced in MATLAB. This was due to difficulties using continuous shooting (burst shots) on the programmable camera, which is necessary for creating this type of photo.

imported>Slansel: /* Montage */

2014-03-21T22:45:16Z

Montage

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	==Montage==		==Montage==
	Burst shooting allows photographers to capture action scenes on a single image. Scenes that include objects moving across a stationary background are displayed at multiple timeframes, producing an action shot of the object at various stages of the captured event. This feature is already available on a number of devices and apps, including the Samsung Galaxy 4S (Drama Shot) [12] and the iOS app Camera Shoot Quick Burst Shot [13]. A programmable mirrorless interchangeable lens camera allows the user to generate burst shots with a higher quality than those available on integrated cell phone cameras. This type of action shot usually requires at least two people (i.e. the photographer and subject) using a standard cell phone camera. Using ~~Olympus’~~ programmable camera, the user has the ability to take self actions shots by controlling the camera remotely using a standard tablet or smartphone. We believe this simple feature would help demonstrate the camera’s capabilities to potential users, especially those with little experience in photography or knowledge of digital image processing.		Burst shooting allows photographers to capture action scenes on a single image. Scenes that include objects moving across a stationary background are displayed at multiple timeframes, producing an action shot of the object at various stages of the captured event. This feature is already available on a number of devices and apps, including the Samsung Galaxy 4S (Drama Shot) [12] and the iOS app Camera Shoot Quick Burst Shot [13]. A programmable mirrorless interchangeable lens camera allows the user to generate burst shots with a higher quality than those available on integrated cell phone cameras. This type of action shot usually requires at least two people (i.e. the photographer and subject) using a standard cell phone camera. Using the provided programmable camera, the user has the ability to take self actions shots by controlling the camera remotely using a standard tablet or smartphone. We believe this simple feature would help demonstrate the camera’s capabilities to potential users, especially those with little experience in photography or knowledge of digital image processing.

	==Thresholding==		==Thresholding==

imported>Slansel: /* What We Intend to Do */

2014-03-21T22:44:50Z

What We Intend to Do

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	== What We Intend to Do ==		== What We Intend to Do ==

	The best part about our app, BaseCamA, is that we have a mirrorless, programmable camera to take the photos for our users, meaning that the user will be free control the camera remotely via their smartphone, while taking high resolution photos. Although we intend to have similar modes to the reviewed app described above, ~~Olympus'~~ programmable camera offers a few advantages that make for a better shot:		The best part about our app, BaseCamA, is that we have a mirrorless, programmable camera to take the photos for our users, meaning that the user will be free control the camera remotely via their smartphone, while taking high resolution photos. Although we intend to have similar modes to the reviewed app described above, the provided programmable camera offers a few advantages that make for a better shot:

	* ''Stability'': The programmable camera can be positioned remotely so that when the user intends to take the image, the photo isn't affected the their ability to hold the camera still (without the use of a tripod). The slight change in position could negatively affect the resulting image, but the programmable camera could easily be placed on a table or attached to a tripod.		* ''Stability'': The programmable camera can be positioned remotely so that when the user intends to take the image, the photo isn't affected the their ability to hold the camera still (without the use of a tripod). The slight change in position could negatively affect the resulting image, but the programmable camera could easily be placed on a table or attached to a tripod.

imported>Projects221: /* Presentation */

2014-03-21T06:42:49Z

Presentation

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	This project was given as a 12-minute presentation to the PSYCH221 Winter 2014 class at Stanford. The presentation file used is linked below.		This project was given as a 12-minute presentation to the PSYCH221 Winter 2014 class at Stanford. The presentation file used is linked below.

	[[File:Final Presentation.pdf \| 12min PDF Presentation File]]		[[File:Final Presentation Slides.pdf \| 12min PDF Presentation File]]

	= Appendix II - Breakdown of Work Within the Project=		= Appendix II - Breakdown of Work Within the Project=

imported>Projects221: /* Montage (Motion Capture) */

2014-03-21T06:34:49Z

Montage (Motion Capture)

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	Overall, our algorithm properly identified and superimposed a moving subject on a designated image background, although areas near the edges were sometimes incomplete; for instance, some areas near the subject’s shoes and hands were missing. The total number of objects within the resulting image could also be altered; a few examples of this feature are shown to the left. In future implementations of this algorithm, we hope to add an option that allow users to vary the number of objects within the final image. This way, the user can create a customized picture based on the chosen shutter speed and the speed of the moving object.		Overall, our algorithm properly identified and superimposed a moving subject on a designated image background, although areas near the edges were sometimes incomplete; for instance, some areas near the subject’s shoes and hands were missing. The total number of objects within the resulting image could also be altered; a few examples of this feature are shown to the left. In future implementations of this algorithm, we hope to add an option that allow users to vary the number of objects within the final image. This way, the user can create a customized picture based on the chosen shutter speed and the speed of the moving object.

	It is important to note that our group could not take successive photos (continuous shooting) using the Olympus programmable camera, and therefore did not implement this feature onto the app itself. The following images were taken using a standard DSLR camera, and the image processing algorithm was implemented and tested in ~~Matlab 2013b~~. The code for these algorithms are available online.		It is important to note that our group could not take successive photos (continuous shooting) using the Olympus programmable camera, and therefore did not implement this feature onto the app itself. The following images were taken using a standard DSLR camera, and the image processing algorithm was implemented and tested in MATLAB. The code for these algorithms are available online.

	= Conclusions =		= Conclusions =

imported>Projects221: /* Montage (Motion Capture) */

2014-03-21T06:31:22Z

Montage (Motion Capture)

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	== Montage (Motion Capture) ==		== Montage (Motion Capture) ==
	[[Image: BaseCamA_Montage.png\|left\|thumb\|Sample of Montage Results]]		[[Image: BaseCamA_Montage.png\|left\|thumb\|Sample of Montage Results]]
	Overall, our algorithm properly identified and superimposed a moving subject on ~~the~~ designated image background, although areas near the edges were sometimes incomplete; for instance, some areas near the subject’s shoes and hands were missing. The total number of objects within the resulting image could also be altered; a few examples of this feature are shown to the left. In future implementations of this algorithm, we hope to add an option that allow users to vary the number of objects within the final image. This way, the user can create a customized picture based on the chosen shutter speed and the speed of the moving object.		Overall, our algorithm properly identified and superimposed a moving subject on a designated image background, although areas near the edges were sometimes incomplete; for instance, some areas near the subject’s shoes and hands were missing. The total number of objects within the resulting image could also be altered; a few examples of this feature are shown to the left. In future implementations of this algorithm, we hope to add an option that allow users to vary the number of objects within the final image. This way, the user can create a customized picture based on the chosen shutter speed and the speed of the moving object.

	It is important to note that our group could not take successive photos (continuous shooting) using the Olympus programmable camera, and therefore did not implement this feature onto the app itself. The following images were taken using a standard DSLR camera, and the image processing algorithm was implemented and tested in Matlab 2013b. The code for these algorithms are available online.		It is important to note that our group could not take successive photos (continuous shooting) using the Olympus programmable camera, and therefore did not implement this feature onto the app itself. The following images were taken using a standard DSLR camera, and the image processing algorithm was implemented and tested in Matlab 2013b. The code for these algorithms are available online.

imported>Projects221: /* Painting with Light */

2014-03-21T06:27:36Z

Painting with Light

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	We could produce a wide array of colors via post processing. In future implementations the user could select a color using a slider.		We could produce a wide array of colors via post processing. In future implementations the user could select a color using a slider.
	[[File:paint-~~with~~-light-colors.png\|800px\|center\|thumb\|A few of the colors available to the user.]]		[[File:paint-w-light-colors.png\|800px\|center\|thumb\|A few of the colors available to the user.]]

	===Light Trail===		===Light Trail===