
Md. Haider AliUniversity of Dhaka · Department of Computer Science and Engineering
Md. Haider Ali
Doctor of Engineering
About
55
Publications
43,752
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Introduction
I received my B. Sc. (Hons.) and M. Sc. degree from the dept. of Electrical and Electronics Engineering, University of Dhaka, Bangladesh in 1987 and 1989. I received my Doctor of Engineering degree from Toyohashi University of Technology, Toyohashi, Japan in 2001. My research interest includes 3d-2d projective registration, human face modelling, face recognition etc..
Additional affiliations
June 2007 - September 2020
January 2015 - May 2016
June 2007 - December 2014
Education
September 1996 - March 2001
Publications
Publications (55)
Image deblurring is a crucial task in computer vision, aiming to recover sharp images from blurry inputs caused by camera shake, motion blur, or other factors. Traditional methods often struggle with complex or severe blur, particularly in high-resolution images. Recent advancements in deep learning, particularly Convolutional Neural Networks (CNNs...
Blind image deblurring is the process of recovering a sharp image from a blurred one without prior knowledge about the blur kernel. It is a small data problem, since the key challenge lies in estimating the unknown degrees of blur from a single image or limited data, instead of learning from large datasets. The solution depends heavily on developin...
Dynamic gestures recognition is a challenging task in the computer vision research area and still difficult to incorporate all linguistic features of a sign language in case of recognition. The proposed method has addressed only three linguistic features (hand-shape, position, and movement) among five more features for a real-time computer vision-b...
Agriculture plays an important role in the food and economy of Bangladesh. The rapid growth of population over the years also has increased the demand for food production. One of the major reasons behind low crop production is numerous bacteria, virus and fungal plant diseases. Early detection of plant diseases and proper usage of pesticides and fe...
Inferring regulatory networks from gene expression data alone is considered a challenging task in systems biology. The introduction of various high-throughput DNA microarray technologies has significantly increased the amount of data to be analysed and various inference algorithms have inherent limitations in dealing with different types of dataset...
This paper presents a new searching algorithm titled “Two-Dimensional Real Time Spiral Search Algorithm (2DRTSSA)” to compute the stereo correspondence or dense disparity map of two rectified images. The proposed algorithm can estimate the minimum stereo correspondence or disparity among all the window costs of a fixed axis from minimum to maximum...
This paper introduces a new searching method named “Self Adaptive Algorithm (SAA)” for computing stereo correspondence or disparity of stereo image. The key idea of this method relies on the previous search result which increases searching speed by reducing the search zone and by avoiding false matching. According to the proposed method, stereo mat...
Machine learning algorithm suffers to recognize the Bangla handwriting from images because of the complex design, diversities among different writers and similarity between characters and digits. In recent times, deep learning is becoming very popular among the researchers for Bangla Handwriting Recgnition (BHR) because of it's high efficiency in t...
Computer vision has been proven a remarkable entity in modern computer science. Different applications of this field have been used on a regular basis. In this paper, we propose a new model for tracking real time object (i.e., car, human face, interior objects, arms, etc.) from video feed by providing training with HAAR features and also with the i...
Hand-signs segmentation and classification in cluttered and dynamic background is extremely challenging, especially when there are variation of illumination in the environment. This paper presents a robust solution for hand-signs segmentation and classification using Fuzzy rule based RGB model and grid-pattern analysis in real-time. The system uses...
Because of using traditional hand-sign segmentation and classification algorithm, many diversities of Bangla language including joint-letters, dependent vowels etc. and representing 51 Bangla written characters by using only 36 hand-signs, continuous hand-sign-spelled Bangla sign language (BdSL) recognition is challenging. This paper presents a Ban...
To ensure more effectiveness in the learning process in educational institutions, categorization of students is a very interesting method to enhance student's learning capabilities by identifying the factors that affect their performance and use their categories to design targeted inventions for improving their quality. Many research works have bee...
Predicting society's reaction to a new product in the sense of popularity and adaption rate has become an emerging field of data analysis. The motion picture industry is a multi-billion-dollar business, and there is a massive amount of data related to movies is available over the internet. This study proposes a decision support system for movie inv...
In order to take better care and to ensure better facilities to the inpatients, predicting length of stay serves a great importance. Since, the resources and the doctors are limited in the hospital, especially in a developing country like Bangladesh, it is quite difficult to provide proper healthcare to the inpatients. Not only the hospital resourc...
Keyword extraction is an automated process that collects a set of terms, illustrating an overview of the document. The term is defined how the keyword identifies the core information of a particular document. Analyzing huge number of documents to find out the relevant information, keyword extraction will be the key approach. This approach will help...
This paper proposes an autonomous video surveillance system which analyzes footages of extremely crowded scenes and detects abnormal events in the context of that particular scene. The model analyzes the local spatial-temporal motion pattern and detects abnormal motion variations and sudden changes and it can be divided into two major parts, select...
Stereo correspondence or disparity is a common tool in computer or robotic vision, essential for determining three-dimensional depth information of object using a pair of left and right images from a stereo camera system. Some applications of disparity are autonomous vehicle and robot navigation, virtual reality and stereo image analysis. Stereo co...
This paper investigates a new approach of finding sentence level sentiment analysis using different machine learning algorithms. Three different machine learning algorithms – SVM (Support Vector Machine), Naïve Bayes and MLP (Multilayer Layer Perceptron) have been used both for sentiment analysis. Moreover two different classifiers of Naïve Bayes a...
This paper presents a real-time appearance-based Bengali alphabet and numeral signs recognition system. Region of Interest (ROI) is initialized by detecting 'Opened Hand' followed by 'Closed Hand' posture from captured images using Haar cascade classifiers. Probable hand area is segmented based on Hue and Saturation values of human skin color from...
Detecting stem diseases of plants by image analysis are still in an inchoate state in the research field. This research has been conducted on detecting the stem diseases of jute plants which is one of the most important cash crops in some of the Asian countries. An automated system based on an Android application has been implemented to take pictur...
This paper presents an approximation real time algorithm for estimating the disparity of the stereo images. The approximation is achieved by shrinking the left and right of original images. According to this method (i) left and right images have been shrinked three times,(ii) the disparity image is computed from the shrinked left and right images t...
Image zooming is the process of enlarging the spatial resolution of a given digital image. We present a novel technique that intelligently modifies the classical pixel replication method for zooming. Our method decomposes a given image into layer of binary images, interpolates them by magnifying the binary patterns preserving their geometric shape...
Computer vision-based gender detection from facial images is a challenging and important task for computer vision-based researchers. The automatic gender detection from face images has potential applications in visual surveillance and human-computer interaction systems (HCI). Human faces provide important visual information for gender perception. T...
Person identification based on iris recognition is a popular biometric for its universality, uniqueness and permanence. By far, it is a prominent, matured and well developed biometric technique that provides positive identification with a high degree of confidence. Here, we have implemented both iris based identification and verification. Iris segm...
The aim of this paper is to develop a real time
vision-based facial expression recognition and adaptation
system for human-computer interaction. Major objective of this
research is to detect face, to identify and recognize user's facial
expression using face image in real time and to be able to adapt
with new user's facial expression. It also works...
Image zooming is the process of enlarging the spatial resolution of a given
digital image. We present a novel technique that intelligently modifies the
classical pixel replication method for zooming. Our method decomposes a given
image into layer of binary images, interpolates them by magnifying the binary
patterns preserving their geometric shape...
This paper presents an algorithm using fuzzy logic for computing
disparity or stereo correspondence of the image sequences. For better
achievements, reverse fuzzyfication method has been employed for
disparity estimation. The algorithm stands on verdict the preeminent
counterpart for every window's pixel in the left image with the
consequent right...
This paper introduces a searching algorithm called "spiral searching"
for computing stereo correspondence or disparity of the stereo images.
The method is based on computation of the minimum window cost among the
contributions of the windows bounded in the range from minimum depth of
spiral to maximum depth of spiral. This algorithm can estimate st...
This paper presents an algorithm using fuzzy logic for computing disparity or stereo correspondence of the image sequences. For better achievements, reverse fuzzyfication method has been employed for disparity estimation. The algorithm stands on verdict the preeminent counterpart for every window's pixel in the left image with the consequent right...
This paper introduces a searching algorithm called " spiral searching " for computing stereo correspondence or disparity of the stereo images. The method is based on computation of the minimum window cost among the contributions of the windows bounded in the range from minimum depth of spiral to maximum depth of spiral. This algorithm can estimate...
Due to the rapid development of World Wide Web (WWW) and imaging technology, more and more images are available in the Internet and stored in databases. Searching the related images by the querying image is becoming tedious and difficult. Most of the images on the web are compressed by methods based on discrete cosine transform (DCT) including Join...
This paper proposes an intensity and size invariant real time computer vision-based face recognition approach. With this method,
human facial area(s) are first detected automatically from real-time captured images. The images are then normalized using
histogram equalization and contrast stretching. Finally face is recognized using eigenfaces method...
This paper addresses the importance of camera positioning in mapping and blending photographic textures on the 3D polygonal surface of human face reconstructed from com-puter tomographic (CT) data by the marching cubes algorithm (3D-face). Using three photographs only, we propose an efficient method to improve the quality of the facial texture by s...
Facial image morphing is a popular class of techniques used to produce the in-between sequences based on two facial images and predefined correspondence between them. The appeal of morphing is to produce the images that are strikingly lifelike and visually convincing. This paper proposes a method based on pixel correspondence wrapping for establish...
In this paper we present an effective and robust approach for detecting a Bangladeshi facial expression in a 2D image. The facial expression is one of the most powerful, natural and immediate means for human beings to communicate their emotions and intentions. Most of the existing works on expression analysis have been focused on the facial express...
Finite Element Methods (FEM) procedure is an important and frequently indispensable part of engineering analysis and design. FEM computer programs are now widely used in practically all branches of engineer-ing for the analysis of structures, solids, and fluids. In this paper we propose a FEM model of facial soft-tissue. Our ultimate target is to m...
In this paper, we propose an improved data hiding technique for gray-level image. It is a great challenge to improve the security and increase the capacity of the hidden secret data with an imperceptible quality. In order to improve these and to provide the stego-image, we combine the good features of both Pixel-Value Differencing (PVD) method and...
Pedestrian navigation studies in real environments have shown consistent statistical relationships between 'configuration' properties of virtual layouts and movement flows, facilitating prediction of movement from designs. However, these studies are at an aggregate level and say nothing about how individuals make the micro-scale decisions producing...
The ultimate goal of this research is to incorporate facial animation based on image morphing in a very narrow bandwidth video transmission, especially in video conferencing, news telecast etc., where the background as well as the object in the image change little. As a part of the whole work, in this paper, an efficient mathematical morphology-bas...
In this paper, we describe a method of automatic 3D–2D projective registration between the 3D (i.e. polygonal face surface derived from CT or MRI data) and the 2D faces of the same individual in the photographs. Our task is to make a realistic 3D model face for post-surgical simulation by pasting color textures accurately on the face surface. We ut...
We propose a three-dimensional (3D) reconstruction method of human hair-shape from rotating head multiple video captured images and CT data. It is well known that no hair is present on the polygonal skin surface of the human head (3D-head) reconstructed from CT or MRI data. Our task is to reconstruct and add the hair-shape on the 3D-head to create...
We propose a three-dimensional (3D) reconstruction method of human hair-shape from rotating head multiple video captured images and CT data. It is well known that no hair is present on the polygonal skin surface of the human head (3D-head) reconstructed from CT or MRI data. Our task is to reconstruct and add the hair-shape on the 3D-head to create...
The absence of hair on the polygonal skin surface of the human
head (3D-head) reconstructed from CT or MRI data fails to provide
complete visual information, especially in expressive face simulation.
The authors propose a method to reconstruct and add the hair shape on
the 3D-head to create a realistic 3D head model for simulating
post-surgical fac...
This paper proposes an automatic method for reconstructing a realistic 3D facial image from CT (computer tomography) and three color photographs: front, left and right views, which can be linked easily with the underlying bone and soft tissue models. This work is the first part of our final goal, "the prediction of patient's facial appearance after...
A method for reconstructing realistic 3D human faces from computer tomography images and color photographs is proposed in this paper. This can be linked easily with the underlying bone and soft tissue models. An iteration algorithm has been developed for automatically estimating the virtual camera parameters to match the projected 3D CT image with...
A method for reconstructing realistic 3D human faces from computer tomography images and color photographs is proposed in this paper. This can be linked easily with the underlying bone and soft tissue models. An iteration algorithm has been developed for automatically estimating the virtual camera parameters to match the projected 3D CT image with...
This paper proposes an automatic method for reconstructing a realistic 3D facial image from CT (computer tomography) and three color pho- tographs: front, left and right views, which can be linked easily with the underlying bone and soft tissue models. This work is done as a part of surgery simu- lation. The 3D facial surface derived from CT by the...