View and illumination invariant object classification based on 3D Color Histogram using Convolutional Neural Networks

Conference/Journal
Springer International Publishing
Authors
Earnest Paul Ijjina C. Krishna Mohan
BibTex
Abstract
Abstract Object classification is an important step in visual recognition and semantic analysis of visual content. In this paper, we propose a method for classification of objects that is invariant to illumination color, illumination direction and viewpoint based on 3D color histogram. A 3D color histogram of an image is represented as a 2D image, to capture the color composition while preserving the neighborhood information of color bins, to realize the necessary visual cues for classification of objects. Also, the ability of convolutional neural ...