A lightweight sketch-based shape retrieval framework.
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Updated
Jul 10, 2019 - C++
A lightweight sketch-based shape retrieval framework.
Fuzzy visual encoding using Gustafson-Kessel and Gath-Geva clustering. Learns adaptive covariance matrices per cluster for soft SIFT descriptor assignment. Outperforms k-means BOF on Caltech and VOC benchmarks. Published at ICIP 2012.
Utilizing SURF Features and KLT Tracking Algorithm in Augmented Reality (AR), Using Kinect V. 2 with the Aim of Autism Therapy
E-Commerce Comment Classification with Logistic Regression and LDA model
Information-theoretic co-clustering for visual object recognition: simultaneous image+word biclustering via Bregman divergence. Python + MATLAB. Evaluated on VOC2006/07/10, Caltech, Scene15.
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