A method is disclosed. The method includes receiving measured linescan information describing a pattern structure of a feature, applying the received measured linescan information to an inverse linescan model that relates measured linescan information to feature geometry information, identifying, based at least in part on the applying the received measured linescan model to the inverse linescan model, feature geometry information that describes a feature that would produce a linescan corresponding to the received measured linescan information, determining, at least in part using the inverse linescan model, feature edge positions of the identified feature, and analyzing the feature edge positions to detect the presence or absence of defects in the pattern structure.

An edge detection system is disclosed. The edge detection system includes an imaging device configured for imaging a pattern structure to form a first image, wherein the pattern structure includes a predetermined feature, and the imaging device images the pattern structure to generate measured linescan information that includes image noise. The edge detection system includes a processor, coupled to the imaging device, configured to receive the measured linescan information including image noise from the imaging device, wherein the processor is configured to: apply the measured linescan information to an inverse linescan model that relates the measured linescan information to feature geometry information, determine, from the inverse linescan model, feature geometry information that describes feature edge positions of the predetermined feature corresponding to the measured linescan information, determine from the feature geometry information at least one metric that describes a property of the edge detection system.

An edge detection system is disclosed. The edge detection system includes an imaging device configured for imaging a pattern structure to form a first image, wherein the pattern structure includes a predetermined feature, and the imaging device images the pattern structure to generate measured linescan information that includes image noise. The edge detection system includes a processor, coupled to the imaging device, configured to receive the measured linescan information including image noise from the imaging device, wherein the processor is configured to: apply the measured linescan information to an inverse linescan model that relates the measured linescan information to feature geometry information, determine, from the inverse linescan model, feature geometry information that describes feature edge positions of the predetermined feature corresponding to the measured linescan information, determine from the feature geometry information at least one metric that describes a property of the edge detection system.

A system and method for automating construction that includes collecting a multi-dimensional point cloud measurement of at least one construction structure that includes at least one surface; generating a construction plan from the multi-dimensional point cloud measurement, wherein the construction plan defines an assembly arrangement of a set of parts; from the construction plan, automatically generating a cut list for a subset of parts; communicating the cut list to a cutting device; and at the cutting device, cutting a set of materials according to the cut list.

A system and method for automating construction that includes collecting a multi-dimensional point cloud measurement of at least one construction structure that includes at least one surface; generating a construction plan from the multi-dimensional point cloud measurement, wherein the construction plan defines an assembly arrangement of a set of parts; from the construction plan, automatically generating a cut list for a subset of parts; communicating the cut list to a cutting device; and at the cutting device, cutting a set of materials according to the cut list.

Disclosed are systems and methods for rendering augmented videos on mobile devices and computing environment with limited computational resources. The disclosed systems and methods provide a novel framework for performing automatic detection of surfaces in video frames resulting in the creation of a seamless in-video augmentation object experience for viewing users. The disclosed framework operates by leveraging available surfaces in digital content to show augmentation objects in compliance with various pre-established contextual and technical constraints. The disclosed framework evidences a streamlined, automatic and computationally efficient process(es) that modifies digital content at the surface level within the frames of the digital content based on the contextual and technical constraints, and the computational resources of the device augmented digital content is rendered on.

Disclosed are systems and methods for rendering augmented videos on mobile devices and computing environment with limited computational resources. The disclosed systems and methods provide a novel framework for performing automatic detection of surfaces in video frames resulting in the creation of a seamless in-video augmentation object experience for viewing users. The disclosed framework operates by leveraging available surfaces in digital content to show augmentation objects in compliance with various pre-established contextual and technical constraints. The disclosed framework evidences a streamlined, automatic and computationally efficient process(es) that modifies digital content at the surface level within the frames of the digital content based on the contextual and technical constraints, and the computational resources of the device augmented digital content is rendered on.

In one embodiment, a method includes receiving measured linescan information describing a pattern structure of a feature, applying the received measured linescan information to an inverse linescan model that relates measured linescan information to feature geometry information, and identifying, based at least in part on the applying the received measured linescan model to the inverse linescan model, feature geometry information that describes a feature that would produce a linescan corresponding to the received measured linescan information. The method also includes determining, at least in part using the inverse linescan model, feature edge positions of the identified feature, analyzing the feature edge positions to determine errors in the manufacture of the pattern structure, and controlling a lithography tool based on the analysis of the feature edge positions.

The present technology relates to an information processing apparatus, an information processing method, and a program through which it is possible to intuitively and visually recognize skin conditions. An analysis result acquisition unit acquires a skin condition analysis result based on an epidermis image obtained by capturing skin epidermis. A display control unit displays an analysis result image of a predetermined display form based on a skin condition analysis result on a display unit. Therefore, it is possible to intuitively and visually recognize skin conditions. The present technology can be applied to, for example, an electronic device configured to display a skin analysis result.

The present technology relates to an information processing apparatus, an information processing method, and a program through which it is possible to intuitively and visually recognize skin conditions. An analysis result acquisition unit acquires a skin condition analysis result based on an epidermis image obtained by capturing skin epidermis. A display control unit displays an analysis result image of a predetermined display form based on a skin condition analysis result on a display unit. Therefore, it is possible to intuitively and visually recognize skin conditions. The present technology can be applied to, for example, an electronic device configured to display a skin analysis result.