The Computer Vision

Our research prevails at the interface between computer vision, pattern recognition, and machine learning. We solve computer vision, pattern recognition, and machine learning problems using learning methods. Particular topics that we target are Deep Convolutional Neural Network based features and other features extraction methods such as Shape features, Color features, Texture features, and Geometric features. We used these features for several computer vision and machine learning areas such as Human Action Recognition, Human Gait recognition, Object Classification, Agricultural Plants, and Medical Imaging.

Contacting Members

Muhammad Attqiue Khan

MS Student

Muhammad Rashid

MS Student

Dr. Tallha Akram

Assistant Professor

Group Leader

Dr. Muhammad Sharif

Associate Professor/Senior Member(IEEE)

Group Members

Dr. Mussarat Yasmin

Assistant Professor

Dr. Jamal Hussain Shah

Assistant Professor

Dr. Mudassar Raza

Assistant Professor

Dr. Faisal Azam

Assistant Professor