OCULAR - Revision history

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Feralo: Created page with "{{ResearchProjInfo |Title=BIO-DISTANCE (Biometrics at a Distance) |ContactInformation=Fernando Alonso-Fernandez |ShortDescription=Ocular Biometrics in Unconstrained Sensing En..."

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Created page with "{{ResearchProjInfo |Title=BIO-DISTANCE (Biometrics at a Distance) |ContactInformation=Fernando Alonso-Fernandez |ShortDescription=Ocular Biometrics in Unconstrained Sensing En..."

New page

{{ResearchProjInfo
|Title=BIO-DISTANCE (Biometrics at a Distance)
|ContactInformation=Fernando Alonso-Fernandez
|ShortDescription=Ocular Biometrics in Unconstrained Sensing Environments
|Description=
|LogotypeFile=Grid.jpg
|ProjectResponsible=Fernando Alonso-Fernandez
|ProjectStart=2011/01/07
|ProjectEnd=2013/06/30
|ApplicationArea=Biometrics
}}
__NOTOC__
{{ShowResearchProject}}

Ocular Biometrics in Unconstrained Sensing Environments

Swedish Research Council, Research Project No: 2016-03497

[[Image:VRlogo.png|150px]]

== Iris Quality Measures ==

Several quality measures of the iris region have been implemented and evaluated, both locally (iris
boundaries) and globally (whole eye region), including the proposal of novel algorithms. We have
aimed to quantify image properties reported in the literature as having the greatest influence in iris
recognition accuracy, in support of the standard ISO/IEC 29794-6 Biometric Sample Quality (part 6:
Iris image). The algorithms implemented include measurements of: defocus blur (1 algorithm),
motion blur and image interlace (1 algorithm), contrast of iris boundaries (2 algorithms), circularity
of iris boundaries (1 algorithm), gray scale spread (2 algorithms), and occlusion (1 algorithm).

← Older revision		Revision as of 11:48, 30 October 2017
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	A primary consequence will be facilitated user interaction by enabling the use of data acquired in a wide range of operational conditions. More comfort and convenience can be achieved thanks to the use of own devices and natural interaction patterns with digital systems.		A primary consequence will be facilitated user interaction by enabling the use of data acquired in a wide range of operational conditions. More comfort and convenience can be achieved thanks to the use of own devices and natural interaction patterns with digital systems.
		+
		+	<p align="center">
		+	[[Image:Eye mobile.png\|300px]]
		+	</p>

@@ Line 2: / Line 2: @@
 |Title=OCULAR
 |ContactInformation=Fernando Alonso-Fernandez
-|ShortDescription=<h2>'''Ocular Biometrics in Unconstrained Sensing Environments'''</h2>
+|ShortDescription='''Ocular Biometrics in Unconstrained Sensing Environments'''
 |Description=This is a four-years project financed the Swedish Research Council. The project is concerned with ocular biometrics in unconstrained sensing environments. Attention will be paid to the periocular modality (the part of the face surrounding the eye), which has shown a surprisingly high discrimination ability, and is the facial-ocular modality requiring the least constrained acquisition.
@@ Line 16: / Line 16: @@
 __NOTOC__
 {{ShowResearchProject}}
 Swedish Research Council, Research Project No: 2016-03497

@@ Line 2: / Line 2: @@
 |Title=OCULAR
 |ContactInformation=Fernando Alonso-Fernandez
-|ShortDescription='''Ocular Biometrics in Unconstrained Sensing Environments'''
+|ShortDescription=<h2>'''Ocular Biometrics in Unconstrained Sensing Environments'''</h2>
 |Description=This is a four-years project financed the Swedish Research Council. The project is concerned with ocular biometrics in unconstrained sensing environments. Attention will be paid to the periocular modality (the part of the face surrounding the eye), which has shown a surprisingly high discrimination ability, and is the facial-ocular modality requiring the least constrained acquisition.

@@ Line 2: / Line 2: @@
 |Title=OCULAR
 |ContactInformation=Fernando Alonso-Fernandez
-|ShortDescription=Ocular Biometrics in Unconstrained Sensing Environments
+|ShortDescription='''Ocular Biometrics in Unconstrained Sensing Environments'''
 |Description=This is a four-years project financed the Swedish Research Council. The project is concerned with ocular biometrics in unconstrained sensing environments. Attention will be paid to the periocular modality (the part of the face surrounding the eye), which has shown a surprisingly high discrimination ability, and is the facial-ocular modality requiring the least constrained acquisition.

@@ Line 3: / Line 3: @@
 |ContactInformation=Fernando Alonso-Fernandez
 |ShortDescription=Ocular Biometrics in Unconstrained Sensing Environments
-|Description=This is a four-years project financed the Swedish Research Council. The project is concerned with ocular biometrics in unconstrained sensing environments. Attention will be paid to the periocular modality (the part of the face surrounding the eye), which has shown a surprisingly high discrimination ability, and is the facial/ocular modality requiring the least constrained acquisition.
+|Description=This is a four-years project financed the Swedish Research Council. The project is concerned with ocular biometrics in unconstrained sensing environments. Attention will be paid to the periocular modality (the part of the face surrounding the eye), which has shown a surprisingly high discrimination ability, and is the facial-ocular modality requiring the least constrained acquisition.
 One goal is to contribute with methods for efficient ocular detection and segmentation. This is still a challenge, with most works relying on manual image annotation, or on detecting the full face, which may not be reliable for example under occlusion. We will continue initiated work with symmetry filters, and will explore deep learning algorithms too, which are giving promising results in many computer vision tasks. Low resolution is another limitation. Thus, another goal will be super-resolution (SR) reconstruction of ocular images. With few works focused on iris, and none on periocular, adaptation of the many available SR methods to the particularities of ocular images is a promising avenue yet to be explored.

@@ Line 23: / Line 23: @@
 [[Image:VRlogo.png|150px]]
-== Iris Quality Measures ==
+This project relates broadly to ocular biometrics in unconstrained sensing environments. Particularly, to methods for reliable detection/segmentation of ocular regions, and reconstruction of low-resolution images. The specific research objectives are:
-Several quality measures of the iris region have been implemented and evaluated, both locally (iris
+*'''Detection of ocular region in unconstrained sensing environments''' under variations in scale, illumination, pose, low resolution, noise, etc. This is novel, since the vast majority of ocular recognition works have relied on manual annotation.
-boundaries) and globally (whole eye region), including the proposal of novel algorithms. We have
-aimed to quantify image properties reported in the literature as having the greatest influence in iris
+*'''Super-resolution  reconstruction of ocular images'''. It may be used to iteratively improve detection (which may improve reconstruction further too), and ultimately to get better recognition accuracy thanks to enhanced image quality. Despite low resolution is frequent in relaxed environments, few ocular reconstruction works exist.
-recognition accuracy, in support of the standard ISO/IEC 29794-6 Biometric Sample Quality (part 6:
-Iris image). The algorithms implemented include measurements of: defocus blur (1 algorithm),
+*'''Ocular recognition by case studies using data at a distance and on the move'''. Fundamental research contributions can be greatly benefited with practical applications in mind, since they enable to assess merits of the developments. We will concentrate on two cases: cooperative scenario with personal devices (smartphone), and uncooperative with surveillance cameras.
-motion blur and image interlace (1 algorithm), contrast of iris boundaries (2 algorithms), circularity
-of iris boundaries (1 algorithm), gray scale spread (2 algorithms), and occlusion (1 algorithm).
+A primary consequence will be facilitated user interaction by enabling the use of data acquired in a wide range of operational conditions. More comfort and convenience can be achieved thanks to the use of own devices and natural interaction patterns with digital systems.

@@ Line 1: / Line 1: @@
 {{ResearchProjInfo
-|Title=BIO-DISTANCE (Biometrics at a Distance)
+|Title=Ocular Biometrics in Unconstrained Sensing Environments
 |ContactInformation=Fernando Alonso-Fernandez
 |ShortDescription=Ocular Biometrics in Unconstrained Sensing Environments
 |LogotypeFile=Grid.jpg
 |ProjectResponsible=Fernando Alonso-Fernandez
-|ProjectStart=2011/01/07
+|ProjectStart=2017/01/01
-|ProjectEnd=2013/06/30
+|ProjectEnd=2020/12/30
 |ApplicationArea=Biometrics
 }}