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		<titleInfo>
			<title>Multispectral Image Feature Points</title>
		</titleInfo>
		<name type="personal">
			<namePart type="family">Cristhian Aguilera</namePart>
			<role>
				<roleTerm authority="marcrelator" type="text">author</roleTerm>
			</role>
		</name>
		<name type="personal">
			<namePart type="family">Fernando Barrera</namePart>
			<role>
				<roleTerm authority="marcrelator" type="text">author</roleTerm>
			</role>
		</name>
		<name type="personal">
			<namePart type="family">Felipe Lumbreras</namePart>
			<role>
				<roleTerm authority="marcrelator" type="text">author</roleTerm>
			</role>
		</name>
		<name type="personal">
			<namePart type="family">Angel Sappa</namePart>
			<role>
				<roleTerm authority="marcrelator" type="text">author</roleTerm>
			</role>
		</name>
		<name type="personal">
			<namePart type="family">Ricardo Toledo</namePart>
			<role>
				<roleTerm authority="marcrelator" type="text">author</roleTerm>
			</role>
		</name>
		<originInfo>
			<dateIssued>2012</dateIssued>
		</originInfo>
		<abstract>Far-Infrared and Visible Spectrum images. It allows matching interest points on images of the same scene but acquired in different spectral bands. Initially, points of interest are detected on both images through a SIFT-like based scale space representation. Then, these points are characterized using an Edge Oriented Histogram (EOH) descriptor. Finally, points of interest from multispectral images are matched by finding nearest couples using the information from the descriptor. The provided experimental results and comparisons with similar methods show both the validity of the proposed approach as well as the improvements it offers with respect to the current state-of-the-art.</abstract>
		<subject>
			<topic>multispectral image descriptor</topic>
		</subject>
		<subject>
			<topic>color and infrared images</topic>
		</subject>
		<subject>
			<topic>feature point descriptor</topic>
		</subject>
		<note>ADAS</note>
		<note>exported from refbase (http://refbase.cvc.uab.es/show.php?record=2154), last updated on Tue, 21 Oct 2014 15:14:32 +0200</note>
		<typeOfResource>text</typeOfResource>
		<location>
			<url displayLabel="Electronic full text" access="raw object">http://refbase.cvc.uab.es/files/ABL2012.pdf</url>
		</location>
		<identifier type="doi">10.3390/s120912661</identifier>
		<identifier type="local">Admin @ si @ ABL2012</identifier>
		<relatedItem type="host">
			<titleInfo>
				<title>Sensors</title>
			</titleInfo>
			<titleInfo type="abbreviated">
				<title>SENS</title>
			</titleInfo>
			<originInfo>
				<dateIssued>2012</dateIssued>
				<issuance>continuing</issuance>
			</originInfo>
			<genre authority="marcgt">periodical</genre>
			<genre>academic journal</genre>
			<part>
				<detail type="volume">
					<number>12</number>
				</detail>
				<detail type="issue">
					<number>9</number>
				</detail>
				<extent unit="page">
					<start>12661</start>
					<end>12672</end>
				</extent>
			</part>
		</relatedItem>
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