A modified shape context method for shape based object retrieval.

Radhika Mani Madireddy,Pardha Saradhi Varma Gottumukkala,Potukuchi Dakshina Murthy,Satyanarayana Chittipothula

doi:10.1186/2193-1801-3-674

Radhika Mani Madireddy, Pardha Saradhi Varma Gottumukkala + Show 2 more

Open Access

https://doi.org/10.1186/2193-1801-3-674

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Abstract

The complexity in shape context method and its simplification is addressed. A novel, but simple approach to design shape context method including Fourier Transform for the object recognition is described. Relevance of shape context, an important descriptor for the recognition process is detailed. Inclusion of information regarding all the contour points (with respect to a reference point) in computing the distribution is discussed. Role of similarity checking the procedure details regarding the computation of matching errors through the alignment transform are discussed. Present case of shape context (for each point with respect to the centroid) descriptor is testified for its invariance to translation, rotation and scaling operations. Euclidean distance is used during the similarity matching. Modified shape context based descriptor is experimented over three standard databases. The results evidence the relative efficiency of the modified shape context based descriptor than that reported for other descriptor of concurrent interests.

Highlights

Significant progress is witnessed in the field of automated object recognition, it is still remains challenging task (Zhang and Lu 2004; Iyer et al 2005) from the broad purview of machine learning and computer vision processes of contemporary requirements
In the wake of the results reported in the area of shape context based object recognition techniques involving a wide variety of design of description and matching measures, it serves that the utility of the Fourier based descriptors for the shape context based recognition presents a superior method rather than the contour based methods
The trends of the results that follow various approaches are presented in the following sub section-Processing of modified shape context based object recognition

Summary

Introduction

Significant progress is witnessed in the field of automated object recognition, it is still remains challenging task (Zhang and Lu 2004; Iyer et al 2005) from the broad purview of machine learning and computer vision processes of contemporary requirements. The descriptor relevant to the shape context (Belongie et al 2002) method for object recognition is developed with an established correspondence between the point sets. The authors propose for the design of a novel hybrid contour based shape descriptor which is constructed with respect to the centroid, while the feature vector is estimated by a 1D Fourier transform.

Results

Conclusion