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This edited volume contains technical contributions in the field of computer vision and image processing presented at the First International Conference on Computer Vision and Image Processing (CVIP 2016). The contributions are thematically divided based on their relation to operations at the lower, middle and higher levels of vision systems, and their applications. The technical contributions in the areas of sensors, acquisition, visualization and enhancement are classified as related to low-level operations. They discuss various modern topics - reconfigurable image system architecture, Scheimpflug camera calibration, real-time autofocusing, climate visualization, tone mapping, super-resolution and image resizing.
The technical contributions in the areas of segmentation and retrieval are classified as related to mid-level operations. They discuss some state-of-the-art techniques - non-rigid image registration, iterative image partitioning, egocentric object detection and video shot boundary detection.
The technical contributions in the areas of classification and retrieval are categorized as related to high-level operations. They discuss some state-of-the-art approaches - extreme learning machines, and target, gesture and action recognition. A non-regularized state preserving extreme learning machine is presented for natural scene classification. An algorithm for human action recognition through dynamic frame warping based on depth cues is given. Target recognition in night vision through convolutional neural network is also presented. Use of convolutional neural network in detecting static hand gesture is also discussed.
Finally, the technical contributions in the areas of surveillance, coding and data security, and biometrics and document processing are considered as applications of computer vision and image processing. They discuss some contemporary applications. A few of them are a system for tackling blind curves, a quick reaction target acquisition and tracking system, an algorithm to detect for copy-move forgery based on circle block, a novel visual secret sharing scheme using affine cipher and image interleaving, a finger knuckle print recognition system based on wavelet and Gabor filtering, and a palmprint recognition based on minutiae quadruplets.

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Dr. R. Balasubramanian is currently an associate professor in the department of Computer Science and Engineering at IIT Roorkee, India. He completed his Ph.D. (Mathematics and Computer Science) from Indian Institute of Technology Madras, Chennai in 2001. His areas of interest include Computer Vision - Optical Flow Problems, Fractional Transform Theory, Wavelet Analysis, Image and Video Processing, Multimedia Security: Digital Image Watermarking and Encryption, Biometrics, Content Based Image and Video Retrieval, Hyperspectral and Microwave Imaging and Visualization, Volume Graphics. He has published over 80 papers in refereed journal and contributed 7 chapters in books.

Dr. Sanjeev Kumar is an assistant professor of Mathematics at IIT Roorkee, India. His areas of interest are Computer Vision & Mathematical Imaging, Inverse Problems, and Machine Learning, He completed his Ph.D. in mathematics from IIT Roorkee in 2008. He is a member of IEEE Computer Society and International Association of Pattern Recognition and life member of ACEEE and IACSIT. He has got over 40 papers published in journals as well as conference proceedings.

Dr. Partha Pratim Roy is an assistant professor of Computer Science and Engineering at IIT Roorkee, India. Before joining IIT Roorkee, he has worked with Samsung Research Institute Noida as chief engineer. He did his Ph.D. in Computer Science and Engineering (2010) from Autonomous University of Barcelona, Spain. He has got seve
ral papers published in journals and international conference proceedings. His interest areas include Pattern Recognition, Multilingual Text Recognition, Biometrics, Identification and Verification of Signature, Fingerprint, etc., Computer Vision, Image Segmentation, Machine Learning, and Hidden Markov Model.

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