BR Avasarala, JC Day, D Steiner - US Patent 9,665,713, 2017 - Google Patents
Improved systems and methods for automated machine learning, Zero-day malware detection. Embodiments include a method for improved Zero-day malware detection that …
This paper presents a fully automatic method for the separation of diffuse and specular reflection components from a single image. Overall, the mechanisms in which the available …
A method for processing images of a scene including a surface made of a material of unknown reflectance comprises the following steps: from at least 3 different positions of an …
S Farrell, S Daly, T Kunkel - US Patent 10,607,324, 2020 - Google Patents
(57) ABSTRACT A highlight mask is generated for an image to identify one or more highlights in the image. One or more highlight classifiers are determined for the one or more …
CW Chiu - US Patent 9,262,690, 2016 - Google Patents
The present disclosure proposes a method and an electronic device for detecting glare pixels of an image including an object and an electronic device using the same. The method …
CA Smith - US Patent 8,542,917, 2013 - Google Patents
In a first exemplary embodiment of the present invention, an automated, computerized method is provided for processing an image. According to a feature of the present invention …
H Jin, H Kim, S Hadap - US Patent 9,582,901, 2017 - Google Patents
Abstract Systems and methods are discussed to separate the specular reflectivity and/or the diffuse reflectivity from an input image. Embodiments of the invention can be used to …
K Mixter, Y Yuan, T Nguyen - US Patent 11,392,213, 2022 - Google Patents
Techniques are described herein for reducing false positives in vision sensor-equipped assistant devices. In various implementations, initial image frame (s) may be obtained from …
G Wang, Z Xiong, M Li, L He - US Patent 10,643,321, 2020 - Google Patents
The present application relates to a characterization method for fine-grained sedimentary rock laminar texture, including S1: image preprocessing; S2: loading the image, and …