公开(公告)号：US20140213909A1

公开(公告)日：2014-07-31

申请号：US13755155

申请日：2013-01-31

Applicant: XEROX CORPORATION

Inventor： Lalit Keshav MESTHA ,  Palghat Srinivas RAMESH ,  Alvaro Enrique GIL

IPC: A61B5/00 ,  A61B5/1455 ,  A61B5/0205 ,  A61B5/107

CPC classification number: A61B5/0077 ,  A61B5/0075 ,  A61B5/1075 ,  A61B5/14551 ,  A61B5/443 ,  A61B5/444 ,  A61B5/7246 ,  A61B5/742 ,  A61B5/7475

Abstract: What is disclosed is a system and method for estimating a biological parameter vector for a biophysics model using reflectance measurements obtained from a reflectance-based spectral measurement system. The present method uses a semi-empirical biophysics model to describe skin properties and estimate reflectance spectra and reduces the dimensionality of the estimated and measured reflectance spectra using basis vectors for computational efficiency. A mixture of algorithms are employed to generate an initial set of parameters which, in turn, are further refined using an iterative control based technique in which the error between the parameters derived from the measured spectra are compared to the parameters calculated from the estimated spectra. These errors are then processed to generate a small delta to the initial set of parameters. The process is repeated until an error between the estimated virtual biological parameters and the measured virtual biological parameters falls to zero or is otherwise below a pre-defined threshold level.

Abstract translation: 公开的是使用从基于反射率的光谱测量系统获得的反射测量来估计生物物理学模型的生物参数矢量的系统和方法。 本方法使用半经验生物物理学模型来描述皮肤特性并估计反射光谱，并且使用用于计算效率的基矢量降低估计和测量的反射光谱的维数。 使用算法的混合来生成初始参数集合，其又使用基于迭代控制的技术进一步改进，其中将从测量的光谱导出的参数之间的误差与从估计的光谱计算的参数进行比较。 然后处理这些错误以产生初始参数集的小增量。 重复该过程，直到估计的虚拟生物参数和测量的虚拟生物学参数之间的误差落在零或否则低于预定阈值水平。

公开(公告)号：US20170270667A1

公开(公告)日：2017-09-21

申请号：US15070379

申请日：2016-03-15

Applicant: Xerox Corporation

Inventor： Yasaman KHAZAENI ,  Lalit Keshav MESTHA ,  Alvaro Enrique GIL ,  Palghat Srinivas RAMESH

IPC: G06T7/00 ,  A61B5/1455 ,  A61B5/00 ,  A61B5/103 ,  G06T7/40 ,  G06F19/00

CPC classification number: A61B5/7475 ,  A61B5/0077 ,  A61B5/1032 ,  A61B5/14551 ,  A61B5/443 ,  A61B5/7264 ,  A61B5/7275 ,  A61B5/7435 ,  G06F19/321 ,  G06T7/0016 ,  G06T2207/10016 ,  G06T2207/10024 ,  G06T2207/20216 ,  G06T2207/30088 ,  G06T2207/30096 ,  G16H10/60

Abstract: What is disclosed is a system and method for estimating a vector of skin parameters from in-vivo color measurements obtained from a video. In one embodiment, a video of exposed skin is received which comprises a plurality of time-sequential image frames acquired over time t. A vector of in-vivo color measurements is obtained on a per-frame basis from at least one imaging channel of a video imaging device used to capture the video. In a manner more fully disclosed herein, an intermediate vector of estimated skin parameters is determined based on an initial vector of estimated skin parameters and the in-vivo color measurements of all image frames averaged over time t. A final vector of estimated skin parameters is then determined for each image frame of the video based on the intermediate vector. The temporally successive final vectors are used to predict changes in time-varying skin parameters for the subject.