Ricoh Company, Ltd.

Other

Ricoh Corporation

Jamey Graham

Jonathan J Hull

Peter E Hart

Dar-Shyang Lee

Berna Erol

Kurt W Piersol

Daniel G Van Olst

Gregory J Wolff

John W Barrus

David Geoffrey Stork

Timothee Bailloeul

Michael Griffin

Tiffany Romain

Michael Alan Baxter

Stephen Weyl

Pamela Gage

Jorge Moraleda

Roland Findlay

Hideki Segawa

Bradley J Rhodes

Tomohiko Sasaki

Xu Liu

Geoffrey Nudd

Ichiro Sakikawa

Kevin Ridout

Sharon Kojima

Chuck Lam

Dani Essindi Behrendt

Adit Gupta

Kathrin Berkner

Sadao Takahashi

Sergey Chemishkian

Hidenobu Kishi

Marko Balabanovic

Takahiro Furukawa

Bharathi Shekar

Sri Kaushik Pavani

Ashootosh Chand

Ame Elliott

Derek E Poppink

Jonathan Zaremski

Mike Griffin

Michael Simbirsky

Dani Essindi

Tarkeshwar Singh

Xiaoye Lu

Peter Hart

Lee Dar-Shyang

Display screen portion with animated graphical user interface

A system and method that generates a planogram is disclosed. The method includes receiving, from an image processing module, a realogram, the realogram including information about items recognized in an image, aligning the items in the realogram using the information about the items recognized in the image, relocating the items horizontally and vertically such that the items are distributed among a plurality of aligned, non-overlapping slots, and providing the relocated items for display as a planogram of the items.

Method, system, and computer program product for planogram generation

A system and method that gathers and labels images for use by a machine learning algorithm for image classification is disclosed. The method includes acquiring a preview image including a portion of a scene, generating a user interface including the preview image, performing object detection on the preview image to detect a set of items, adding, to the first preview image, a set of regions of interest based on the object detection, each region of interest highlighting a location of a corresponding item in the set of items, receiving an image corresponding to the preview image, determining an object identifier associated with an item, and labeling the item in the image using the object identifier and a region of interest corresponding to the item.

User interface for object detection and labeling

A system and method for image processing result visualization. The method includes receiving a job, wherein the job includes a panoramic image and image recognition information, and creating a visualization based on the job, wherein the visualization includes the panoramic image with the image recognition information layered over the panoramic image.

Image recognition result visualization over time

A system and method that allows the capture of a series of images to create a single linear panoramic image is disclosed. The method includes capturing an image, dynamically comparing a previously captured image with a preview image on a display of a capture device until a predetermined overlap threshold is satisfied, generating a user interface to provide feedback on the display of the capture device to guide a movement of the capture device, and capturing the preview image with enough overlap with the previously captured image with little to no tilt for creating a linear panorama.

Preview image acquisition user interface for linear panoramic image stitching

The disclosure includes a system and method for aligning a realogram and a planogram. An alignment module of an image recognition application receives a realogram, the realogram including information about product recognitions, and a planogram corresponding to the realogram. The alignment module also generates a planogram brand chunk in the planogram, the planogram brand chunk grouping a plurality of planogram product facings belonging to a same brand, and a realogram brand chunk in the realogram based on the planogram brand chunk. The alignment module additionally identifies a planogram product facing in the planogram brand chunk and a realogram product facing in the realogram brand chunk and aligns the planogram product facing with the realogram product facing.

Planogram and realogram alignment

The disclosure includes a system and method for comparing a realogram and a planogram to determine differences and generate suggestions, for example, a corrective action, and present the corrective action to a user. An application receives a realogram, the realogram including information about product recognitions, and a planogram corresponding to the realogram. The application aligns the realogram with the planogram using the information about product recognitions. The application retrieves a rule, detects an issue in the realogram based on applying the rule to the realogram aligned with the planogram, generates a corrective action corresponding to the issue in the realogram, and provides the corrective action for display as an overlay on the realogram.

Suggestion generation based on planogram matching

A crowdsourced question and answer platform enhanced with image recognition technology is disclosed. The platform generates and organizes conversations surrounding an object recognized from an image uploaded by a user. Generating and organizing conversations includes receiving an image a from a user, analyzing the image to recognize an object in the image, receiving a comment related to the recognized object in the image from the user, generating content related to the recognized object in the image based on the received comment and adding the content related to the recognized object in the image to a conversation corresponding to the recognized object in the image.

Image recognition enhanced crowdsourced question and answer platform

Image recognition scoring visualization

A system and method for generating a conversation in a social network based on visual search results. A mixed media reality (MMR) engine indexes source materials as MMR objects, receives images from a user device and identifies matching MMR objects. A content management engine generates metadata corresponding to the MMR objects. A social network application generates conversations corresponding to the MMR object. The conversation includes multiple discussion threads. If a conversation already exists, the social network application provides the user with access to the conversation.

Generating a conversation in a social network based on mixed media object context

Portion of display screen with animated graphical user interface

Portion of display screen with animated user interface

A system and method for generating user interfaces for presenting a set of templates to guide a user to capture images of the items correctly sized under different conditions is disclosed. The method includes generating a first user interface configured to receive and present product information for an item including dimensions of the item, receiving a first image, generating a second user interface to present a template, the template including a bounding box sized to match the dimensions of the item, the second user interface configured to present the bounding box overlaid over a second image, receiving input to capture a portion of the second image within the bounding box, responsive to the input to capture the second image, generating a third user interface to present the first image and the captured portion of the second image as variants of a face of the item, and storing the captured portion of the second image as a variant of the face of the item and the information of the item in a database.

Guided image capture user interface

A system and method that calculates a yaw error in an image and provides a user interface to a user for correcting the yaw error. The method includes receiving an image, performing line detection in the image, computing a line parameterization for lines in the image, computing a yaw angle for the image and providing the yaw data calculated in the image.

Yaw user interface

A Mixed Media Reality (MMR) system and associated techniques are disclosed. The MMR system provides mechanisms for forming a media document that includes media of at least two types (e.g., printed paper as a first medium and digital content and/or web link as a second medium). The MMR system provides mechanisms for forming a media document that includes media of at least two types, such as printed paper as a first medium and a digital photograph, digital movie, digital audio file, or web link as a second medium. Furthermore, the MMR system facilitates business methods that take advantage of the combination of a portable electronic device, such as a cellular camera phone, and a paper document.

System and methods for creation and use of a mixed media environment

Growing community of inventors

San Jose, CA, United States of America

Jamey Graham