Canon Anelva Corporation

Bodygram, Inc.

Yu Sato

Chong Jin Koh

Naomu Kitano

Takuya Seino

Akira Matsuo

Koji Yamazaki

Yohsuke Shibuya

Eitaro Morimoto

Kyohei Kamiyama

Shunichi Wakayanagi

Eitaroh Morimoto

Takayuki Saito

Disclosed are systems and methods for full body measurements extraction using a mobile device camera. The method includes the steps of receiving one or more user parameters; receiving at least one image containing the human and a background; identifying one or more body features associated with the human; performing body feature annotation on the identified body features for generating an annotation line on each body feature corresponding to a body feature measurement, the body feature annotation utilizing an annotation deep-learning network that has been trained on annotation training data, the annotation training data comprising one or more images for one or more sample body features and an annotation line for each body feature; generating body feature measurements from the one or more annotated body features utilizing a sizing machine-learning module based on the annotated body features and the one or more user parameters; and generating body size measurements by aggregating the body feature measurements for each body feature.

Systems and methods for full body measurements extraction

Disclosed are systems and methods for body weight prediction from one or more images. The method includes the steps of receiving one or more subject parameters; receiving one or more images containing a subject; identifying one or more annotation key points for one or more body features underneath a clothing of the subject from the one or more images utilizing one or more annotation deep-learning networks; calculating one or more geometric features of the subject based on the one or more annotation key points; and generating a prediction of the body weight of the subject utilizing a weight machine-learning module based on the one or more geometric features of the subject and the one or more subject parameters.

Systems and methods for weight measurement from user photos using deep learning networks

Disclosed are systems and methods for full body measurements extraction using a mobile device camera. The method includes the steps of receiving one or more user parameters from a user device; receiving at least one image from the user device, the at least one image containing the human and a background; performing body segmentation on the at least one image to extract one or more body features associated with the human from the background using a segmentation deep-learning network; generating annotation lines on the extracted body features using an annotation deep-learning network; generating body feature measurements of the one or more annotated body features utilizing a machine-learning module based on the annotated body features and the one or more user parameters; and generating body size measurements by aggregating the body feature measurements for each extracted body feature. In one embodiment, the deep-learning algorithms are trained on manually-annotated human body size measurements.

It is an object of the present invention to provide an electronic component manufacturing method, capable of suppressing reduction in a trench opening and suppressing diffusion of a metal film embedded in a trench. An embodiment of the present invention is an electronic component manufacturing method, including the steps of: forming a first electrode constituting layer (e.g., a TiAl film) in a recess (e.g., a trench) formed in a workpiece; forming an ultrathin barrier layer (e.g., a TiAlN film) by forming a nitride layer by plasma-nitriding a surface of the first electrode constituting layer; and forming a second electrode constituting layer (e.g., an Al wiring layer) on the ultrathin barrier layer.

Electronic component manufacturing method and electrode structure

The present invention provides an electronic component manufacturing method including a step of embedding a metal film. An embodiment of the present invention includes a first step of depositing a barrier layer containing titanium nitride on an object to be processed on which a concave part is formed and a second step of filling a low-melting-point metal directly on the barrier layer under a temperature condition allowing the low-melting-point metal to flow, by a PCM sputtering method while forming a magnetic field by a magnet unit including plural magnets which are arranged at grid points of a polygonal grid so as to have different polarities between the neighboring magnets.

Electronic component manufacturing method including step of embedding metal film

The present invention provides a method and apparatus for manufacturing a semiconductor device using a PVD method and enabling achievement of a desired effective work function and reduction in leak current without increasing an equivalent oxide thickness. A method for manufacturing a semiconductor device in an embodiment of the present invention includes the steps of: preparing a substrate on which an insulating film having a relative permittivity higher than that of a silicon oxide film is formed; and depositing a metal nitride film on the insulating film. The metal nitride depositing step is a step of sputtering deposition in an evacuatable chamber using a metal target and a cusp magnetic field formed over a surface of the metal target by a magnet mechanism in which magnet pieces are arranged as grid points in such a grid form that the adjacent magnet pieces have their polarities reversed from each other.

Growing community of inventors

Kawasaki, Japan

Yu Sato