Recognizing Indoor Scenes

We propose a scheme for indoor place identication based on the recognition of global scene views. Scene views are encoded using a holistic representation that provides low-resolution spatial and spectral information. The holistic nature of the representation dispenses with the need to rely on specic objects or local landmarks and also renders it robust against variations in object congurations. We demonstrate the scheme on the problem of recognizing scenes in video sequences captured while walking through an oÆce environment. We develop a method for distinguishing between 'diagnostic' and 'generic' views and also evaluate changes in system performances as a function of the amount of training data available and the complexity of the representation. T

• Type: Conference
• Year: 2009
• Where: CVPR
• Authors: Antonio B. Torralba, Ariadna Quattoni
• Keywords: Computer Vision, CVPR 2009, Indoor Scenes