Invention Grant
- Patent Title: Probabilistic intensity similarity measure based on noise distributions
- Patent Title (中): 基于噪声分布的概率强度相似性度量
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Application No.: US12110362Application Date: 2008-04-28
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Publication No.: US08233715B2Publication Date: 2012-07-31
- Inventor: Yasuyuki Matsushita , Stephen Ssu-te Lin
- Applicant: Yasuyuki Matsushita , Stephen Ssu-te Lin
- Applicant Address: US WA Redmond
- Assignee: Microsoft Corporation
- Current Assignee: Microsoft Corporation
- Current Assignee Address: US WA Redmond
- Agency: Collins & Collins Intellectual, LLC
- Agent L. Alan Collins
- Main IPC: G06K9/46
- IPC: G06K9/46

Abstract:
Technologies for comparing observed intensities using a probabilistic similarity measure. In the probabilistic similarity measure example, there is no attempt to estimate a true intensity. Rather, the similarity of two observed intensities is defined as the likelihood that they each resulted from the same but unknown true identity while taking into account the noise characteristics of the camera observing the intensities. Since the true intensity is unknown, all possible true intensities are taken into account, rather than using a specific true intensity estimate. The probabilistic similarity measure indicates the degree to which two intensities correspond to the same intensity without estimating a true scene intensity value.
Public/Granted literature
- US20090268938A1 PROBABILISTIC INTENSITY SIMILARITY MEASURE BASED ON NOISE DISTRIBUTIONS Public/Granted day:2009-10-29
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