Machine Learning In Interior Design: Uncovering New Possibilities

Computer Vision enables computers to replicate high-level visual capabilities and 'see' the world the way we humans see it. But for that to happen, we need to solve a set of problems first. Such problems or steps in computer vision may include image classification, image recognition, image segmentation or object detection.

Interior designing is the art of enhancing an interior space by converting it into an aesthetically pleasing area. With growing technologies, interior design has become simpler. The use of computers to generate 3D layouts similar to the actual design helping in visualizing better and more effectively, is known as 3D interior design.

Computer vision and deep learning have applications in many industries like medical sciences, surveillance, or retail. and the application extends to the interior design industry. Designing a room involves establishing a common style and theme by keeping in mind the environmental and aesthetic aspects.

A Convolutional Neural Network (CNN) or ConvNet is a deep learning algorithm that can efficiently differentiate between two input images by assigning importance to various aspects or objects in the images. With its lower pre-processing requirement in comparison to other classification algorithms, it is the most applied algorithm in analysing visual imagery. Primitive classification algorithms use hand-engineered filters that humans train.

Adversarial machine learning is a machine learning technique that uses deceptive inputs to trick advanced machine learning models into providing erroneous output. Researchers have been exploring this over the past few decades. They have found that it poses a great threat to image classification and spam detection technologies. When used in image recognition, adversarial machine learning modified the images to produce inaccurate decisions.

3D visualization is beyond capturing an image or recreating a client’s wishes on a digital plane. It involves accurately understanding perspectives and how various individual elements come together to form a clean image. With the endless possibilities of 3D visualization, designers and visual artists can make the most of the vast internet network to market their work.