🕶 Computer Vision

Understanding images and other news from our Research Team

My thoughts on ECML PKDD 2018

David, a member of our research team, jetted over to Dublin for ECML PKDD 2018. In this blog post he talks about the elements of the conference he found most interesting.

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Deep Depth Prediction - The Next Revolution?

Ever wondered how a phone might understand what a room looks like if everything looks exactly the same? Computer Vision Researcher Ignazio explains.

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Tapdance your way to a new kitchen!

We’ve already talked about the differences between ARKit and ARCore in a previous blog post. Today, we’re focusing on how Augmented Reality can make our lives easier in the process of refurbishing our kitchen or bathroom.

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5 techniques for generating 3D information and when to use them

In this post, Mohamed gives an overview of the most commonly used techniques to acquire 3D information, briefly illustrates the theory behind them and highlights their strengths and weaknesses.

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Can we use stereo vision with ARKit to estimate floor plans?

Our Research Team take a look behind the scenes at how your phone can be used to scan a room and create an accurate floor plan.

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An introduction to Catalyst, our automatic layout designer

In this blog post, David from our research team introduces Catalyst, our automatic bathroom design tool. Using machine learning it guides a customer to plan their perfect room helping reduce the friction that occurs during the design process.

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How we use image semantic segmentation

At DigitalBridge we create products that aid the design and visualisation of kitchens, bedrooms and bathrooms. Using sophisticated computer vision algorithms we allow a user to design and visualise their new kitchen, bedroom or bathroom in their existing room. By understanding the user’s current space we can make informed decisions on how to assist them in this process.Scene understanding is the process of using a photo (or set of photos) to return semantic knowledge of a scene’s contents. One aspect of scene understanding is determining the objects in a photo. This may be performed at the object level, through object detection, or at the pixel level through semantic segmentation. This blog post will focus on the latter.

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Generating accurate floor plans from 3D scans

DigitalBridge builds high-tech applications to help our users embark upon their renovation projects, allowing them to visualise what their room will look like after a re-decoration, and giving them a realistic idea of what they can do with their space. We are using latest developments of Augmented Reality and 3D capture devices to offer customers new possibilities for their next home renovation. In this blog post we are going to talk about a technique under development to estimate a floor plan automatically from a 3D scan of a space, and outline some of its uses.

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