Abstract— This paper addresses the problem of featurebased robot localization in large-size environments. With recent progress in SLAM techniques, it has become crucial for a rob...
To reduce the high dimensionality required for training of feature vectors in speaker identification, we propose an efficient GMM based on local PCA with Fuzzy clustering. The prop...
In this paper, we present a novel indexing technique called Multi-scale Similarity Indexing (MSI) to index image’s multi-features into a single one-dimensional structure. Both f...
Abstract. The Scale Invariant Feature Transform (SIFT) has become a popular feature extractor for vision-based applications. It has been successfully applied to metric localization...
d Abstract) Aravindhan K Krishnan Madhava Krishna Supreeth Achar This paper presents an approach to explore an unknown indoor environment using vision as the sensing modality, t...
Aravindhan K. Krishnan, K. Madhava Krishna, Supree...