Showing papers on "Parametric Image published in 1995"
28 Mar 1995
TL;DR: A fully automatic system for 2D model-based image coding of human faces for potential applications such as video telephony, database image compression, and face recognition that has been successfully tested on a database of nearly 2000 facial photographs.
Abstract: We present a fully automatic system for 2D model-based image coding of human faces for potential applications such as video telephony, database image compression, and face recognition. The system operates by locating a face in the input image, normalizing its scale and geometry and representing it in terms of a compact parametric image model obtained with a Karhunen-Loeve basis. This leads to a compact representation of the face that can be used for both recognition as well as image compression. Good-quality facial images are automatically generated using approximately 100-bytes worth of encoded data. The system has been successfully tested on a database of nearly 2000 facial photographs.
59 citations
TL;DR: This paper presents a novel approach by introducing a Bayesian probability of homogeneity in a general statistical context that is particularly beneficial for cases in which estimation-based methods are most prone to error: when little information is contained in some of the regions and, therefore, parameter estimates are unreliable.
Abstract: Region-based image segmentation methods require some criterion for determining when to merge regions. This paper presents a novel approach by introducing a Bayesian probability of homogeneity in a general statistical context. The authors' approach does not require parameter estimation and is therefore particularly beneficial for cases in which estimation-based methods are most prone to error: when little information is contained in some of the regions and, therefore, parameter estimates are unreliable. The authors apply this formulation to three distinct parametric model families that have been used in past segmentation schemes: implicit polynomial surfaces, parametric polynomial surfaces, and Gaussian Markov random fields. The authors present results on a variety of real range and intensity images. >
47 citations
TL;DR: In this paper, a parametric amplification of a monochromatic near-infrared image was performed in a KTP crystal with a resolution of 60 × 80 points and a gain of 15 dB.
37 citations
TL;DR: It was found that, with proper initialization by taking the shape of the modelled data into consideration, the minimization function can be approximated by a quadratic function near the minimum point, therefore the iteration times can be minimized in the modified Powell method.
Abstract: This paper presents a model that comprises only two parameters (R/S, fr) and the application of three function minimization algorithms (simplex, Powell and modified Powell) to this model to obtain parametric images Comparisons among the three algorithms in terms of efficiency and reliability were carried out It was found that, with proper initialization by taking the shape of the modelled data into consideration, the minimization function can be approximated by a quadratic function near the minimum point, therefore the iteration times can be minimized in the modified Powell method The results show that with the modified Powell method a substantial reduction of computation time can be achieved in the parametric imaging This makes it possible to obtain a 16*16 parametric image in 1 s
31 citations
TL;DR: By picosecond parametric image amplification, the authors performed successive pictures of a light pulse propagating on a diffusing screen, which was later used for a light-emitting diode (LED) display.
29 citations
01 Jan 1995
TL;DR: In this article, a separation scheme, considered in a parametric image space, is proposed to associate to a variational inequality a dual problem from which dual variational inequalities can be derived.
Abstract: By means of a separation scheme, considered in a parametric image space, it is possible to associate to a Variational Inequality a parametric dual problem from which dual variational inequalities can be derived.
9 citations
Patent•
28 Apr 1995TL;DR: In this article, a method of imaging a characteristic of image intensity of an imaging agent in a subject consists of introducing the imaging agent into the subject and repetitively scanning the subject at each of a plurality of time intervals.
Abstract: A method of imaging a characteristic of image intensity of an imaging agent in a subject consists of introducing the imaging agent into the subject and repetitively scanning the subject at each of a plurality of time intervals, so as to produce a plurality of time-sequenced images throughout the subject Each of the time-sequenced images is then subdivided into a notional array of image elements such that there is a one-to-one correspondence between positions of image elements in the array and locations in the subject Thereafter, a value of image intensity of the imaging agent at the corresponding location in the subject is determined for each image element in each of the time-sequenced images, the image elements in the arrays of successive time-sequenced images being in register with each other with respect to the locations The determined image intensity values of image elements of plural time-sequenced images, in register with each other, are then combined to generate an image of the characteristic of image intensity of the imaging agent
7 citations