3m Innovative Properties Company

Linus Åkerlund

Pontus Axelsson

Guruprasad Somasundaram

Diane R Wolk

Richard J Moore

Roland Persson

Cristin E Moran

David M Mahli

Michael Rotstein

Michael C Leighton

Tasuku Nakayama

Willem V Bastiaens

Emre Berge Ergenekon

Olof Roland Persson

Héctor M Aybar López

Staffan H Kjellberg

Ravishankar Sivalingam

Kyle W English

Héctor M Aybar LÓPEZ

At least some aspects of the present disclosure feature a computing device configured to display visual representations of digital notes and one or more group images representing one or more groups on a user interface, where each group may include one or more digital notes. The computing device is further configured to receive one or more user inputs via the user interface and change the compositions of the groups based on the received user inputs.

Organizing digital notes on a user interface

In one example, a method includes receiving a digital note of a plurality of digital notes generated based on image data comprising a visual representation of a scene that includes a plurality of physical notes such that each of the plurality of digital notes respectively corresponds to a particular physical note of the plurality of physical notes, wherein each of the physical notes includes respective recognizable content. In this example, the method also includes receiving user input indicating a modification to one or more visual characteristics of the digital note. In this example, the method also includes editing, in response to the user input, the one or more visual characteristics of the digital note. In this example, the method also includes outputting, for display, a modified version of the digital note that includes the one or more visual characteristics.

Editing digital notes representing physical notes

Techniques are described for creating and manipulating software notes representative of physical notes. A computing device is described that includes a processor and an image collection module executable on the processor and configured to receive an input image of an environment having a plurality of physical notes. An image processing engine executable on the processor is configured to identify the plurality of physical notes in the input image and generate, for each of the physical notes, a corresponding digital note. The image processing engine is further configured to identify an indication of one or more groups of the plurality of identified notes in the input image and group the plurality of digital notes according to the indication.

Note recognition and association based on grouping indicators

Techniques are described for creating and manipulating software notes representative of physical notes. A computing device comprises a processor and a note identification module executable on the processor and configured to separate an input image into a plurality of channelized input images. Each of the channelized input images are associated with a different color. The note identification module is configured to apply edge detection and feature extraction to identify polygons within each of the channelized input images and select, from the polygons from the channelized input images, a representative polygon for each of the physical notes in the input image.

Note recognition and management using multi-color channel non-marker detection

At least some aspects of the present disclosure feature a computing device configured to receive an input image of an environment having a plurality of physical notes. The computing device automatically processes the input image to identify at least some of the plurality of the physical notes in the input image and displays the input image and indications indicative of the identified physical notes on a user interface. The computing device receives a user input indicating a position within the input image via a user interface and, responsive to the user input, recognizes proximate to the position a missed one of the physical notes that was not identified by the computing device when initially processing the input image.

Note capture and recognition with manual assist

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Johanneshov, Sweden

Linus Åkerlund