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30 results about "Eye color" patented technology

Eye color is a polygenic phenotypic character determined by two distinct factors: the pigmentation of the eye's iris and the frequency-dependence of the scattering of light by the turbid medium in the stroma of the iris.

Method to predict iris color

The invention comprises a method to predict iris color of a human from a nucleic acid / protein sample comprising assaying for one or more polymorphisms in the region 5′ proximal of the OCA2 gene up to and including the HERC2 gene on chromosome 15 between basepairs 26018062 and 26240890 according to NCBI build 36 or Ensemble Homo sapiens version 46.36h and on basis of the results from the assay predicting the eye color of a human e.g. an unknown person (such as perpetrators and / or victims of crime, missing persons etc.) in forensic and other applications of human identification. Said polymorphisms preferably are selected from the group consisting of rs916977, rs8028689, rs6497287, rs8041209, rs6497292, rs2240202, rs2346050, rs12592730, rs7183877, rs2240204, rs8039195, rs16950979, rs16950987, rs1667394, and rs1635168 or any marker in close physical distance to said markers and consequently in genetic linkage in the region of chromosome 15 between basepairs 26018062 and 26240890 according to NCBI build 36 or Ensemble Homo sapiens version 46.36h. Said polymorphisms are analysed from human material such as human body fluids (e.g. blood, saliva, semen etc.) or other human body parts (e.g. hairs, organs, etc) or from material obtained from whole bodies. The invention further comprises primers and probes, and a kit for the assay. The invention includes application of the genetic eye color prediction using said markers or their combinations (haplotypes) for forensic and other purposes of human identification such as to identify or trace unknown persons e.g. perpetrators and / or victims of crime, missing persons etc.
Owner:ERASMUS UNIV MEDICAL CENT ROTTERDAM ERASMUS MC

Environmental saliency detection method simulating midbrain competitive selection mechanism of raptor

The invention discloses an environment saliency detection method simulating a midbrain competitive selection mechanism of a raptor, and the method comprises the following steps: 1, carrying out the calibration of a camera, obtaining the internal and external parameters of the camera, and correcting the image distortion; 2, unifying image illumination intensity, and performing gamma correction; step 3, performing region segmentation by simulating a brauer color mechanism; step 4, detecting a salient region imitating a brauer attention mechanism; 5, simulating a receptive field of the brauchid nuclei; and step 6, fusing the color information and the dynamic target information. The invention has the advantages that 1, the robustness is high, an algorithm is designed according to a raptor eye color imitating mechanism and a raptor midbrain competitive selection mechanism, static characteristics and dynamic characteristics of a salient region are considered, and the accuracy of a salient detection result is ensured; 2, the framework is simple, the target detection calculation amount is saved, and the airborne calculation load requirement is greatly reduced; and 3, considering the difficulty of salient target detection caused by different illumination and different salient object features, so that the invention has higher adaptability to salient target detection in a changing environment.
Owner:BEIHANG UNIV
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