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Gender recognition from facial images has become one of challenging research problem in computer vision, security, verbal-nonverbal communication and human computer interaction applications nowadays. Because facial images include many information such as gender, facial expressions, age, ethnic origin in computer-aided applications, the success rate of the gender recognition depends on quality of facial...
In this paper, we propose a method to improve ego-motion estimation. In the proposed method, feature points from input binocular stereo image pairs are detected using the Speeded Up Robust Features method and descriptor vectors are generated for the features. Semi-Global Matching is then performed to ensure the quality and quantity of the matching features, which are used in conjunctions with camera...
Transesophageal Echocardiography (TEE) is used to visualize ultrasound heart images for diagnosis or surgery monitoring. The existing TEE is operator dependent and does not provide sufficient safety features to localize the TEE probe tip inside the human body. In order to improve safety in the usage of TEE, a novel technique for TEE probe tip localization has been developed. This technique is based...
A video summarization technique is proposed in this work using minimal spanning tree (MST) of data points. The data points correspond to image frames of a shot in the video which is to be summarized. Correlation is chosen as a similarity metric for computing the edge weights of the MST. The representative frames for each shot are chosen by computing the density of each data point. A novel method for...
Static video summarization techniques aim to represent the salient content in a video by extracting a set of key-frames for presentation to the user. An efficient key-frame extraction process is thus vital for effective video summarization, browsing and indexing in content-based video retrieval systems. In this paper, a three phased approach for key-frame extraction is proposed which aims to represent...
Image registration is the process of matching two or more partially overlapping images taken, for example, at different times, from different sensors, or from different viewpoints and align these images into one image comprising the whole scene. It is a fundamental image processing technique and is very useful in integrating information from different sensors, finding changes in images taken at different...
Object localization is one of the most important stages in license plate recognition application. Object localization searches and segments the region of interest of license plate automatically and eases the subsequent recognition phase where each character of the license plate can be identified accurately. Speeded Up Robust Features (SURF) and Bag-of Words (BoW) feature descriptors are combined and...
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