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We address the performance prediction of the noncoherent detector (i.e., squared-law plus integrator) for independent but possibly nonidentically distributed (non-id) noncentral Gamma (NCG) fluctuating target model, which is more general and can describe more complex targets. Initially, we obtain the probability density function (pdf) of the sum of independent and non-id NCG random variables in terms...
Our paper takes the stance that a 3D shaded display can add a significant amount of information to the visualization of high-dimensional data. We believe that it makes better use of the innate cognitive capabilities of the human visual system which is highly optimized to recognize and reason with 3D shape information. As a first step we studied a variety of real-world datasets and confirmed that the...
We deal with the performance prediction of the incoherent radar receiver (i.e. squared-law plus integrator) in the presence of independent and possibly non-identically distributed target backscattered echoes. Specifically, we first approximate the lognormal sums with a new lognormal probability density function (pdf). Based on the approximation, we develop an approximate expression of the detection...
Positioning moving human in the video sequence of complicated environmental conditions is still a challenging task in computer vision at present, which not only needs to efficiently eliminate varieties of background interferences, but also satisfies real time request in application as well. The shape complexity is applied to position moving human in this paper. Firstly, we adopt the improved frame...
Generally, computers can successfully achieve object recognition by relying on sufficient information of observed objects. However, in real world, many objects own diverse configurations or objects are observed at various angles and positions, which make it difficult to match the observed objects with data models in a limited database. In this paper, to resolve the above problem, we propose an algorithm...
We consider the representation of densely sampled scanned 3D objects. Scanning physical objects can be an efficient way of obtaining natural looking input for computer graphics image generation. Scanned meshes however require large amounts of storage. For applications such as computer graphics, preserving the look of objects rather than precise measurements is critical. We seek a representation that...
This paper proposes a mesh simplification method based on facial features region partition for the special three-dimensional facial mesh model. According to distribution of feature points, the face is divided into several parts consisting of critical feature regional and non-critical feature regional. This method adjusts different areas using different curvature values. This algorithm also uses edge...
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