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In this research, we consider the deficiencies of current e-collaboration design systems that are introduced to enterprises, and then concentrate on how to express the essential requirements for product design. The authors propose a systematic process model to support collaborative product development (CPD). The required multi-disciplinary information for CPD will be handled via the processes of classification,...
With the further and faster urbanization, here come the advent and development of intelligent public transportation system. The identification of the traffic signs, as a key component of the intelligent transit system, has a prospect of widespread use in self-driving and driver assistance system. The paper focuses on the classification and identification of traffic signs based on the researches on...
Environmental Microorganisms (EMs) are very diverse and live in every part of the biosphere (rivers, forests, mountains, etc.), playing critical roles in earth's biogeochemical cycles as they are responsible for the decomposition of waste. Currently, a lot of manual efforts through morphological analysis using microscopes have been put on looking for EMs; however, these methods are expensive and time-consuming...
We present a method that enhances the performance of depth-from-defocus (DFD) through the use of shading information. DFD suffers from important limitations—namely coarse shape reconstruction and poor accuracy on textureless surfaces—that can be overcome with the help of shading. We integrate both forms of data within a Bayesian framework that capitalizes on their relative strengths. Shading data,...
Ear has been proven to be a good candidate for non-contact recognition. In order to acquire ear's 3D information as well as reserve its non-contact advantage, 3D reconstruction using 2D images can be a promising way. However ear is a small object with abundant structure information, which makes the 3D shape estimating a challenge problem. An improved sophisticated 3D ear reconstruction method based...
Occurrence of certain environmental microorganisms and their species is a very informative indicator to evaluate environmental quality. Unfortunately, their manual recognition in microbiological laboratories is very time-consuming and expensive. Therefore, we work on an automatic method for shape-based classification of EMs in microscopic images. First, we segment the microorganisms from the background...
Existing work of 3D morphable models mainly focuses on 3D face recognition and reconstruction but ignores the ear regions which are usually captured together with the face images. However, ears are almost rigid structures, which are relatively stable to age growth and resist the facial expression variations, making themselves an effective supplement of faces for personal identification. Hence, we...
To achieve denser 3D ear model from less controlled 2D image, we explore a 3D Ear Morphable Model (3DEMM) for 3D ear reconstruction using a single 2D ear image. Considering the unique structure of ear, we propose a novel dense corresponding method. The proposed method can overcome the shortcoming of optical flow based method and achieve pixel level dense correspondences based on physiological features...
A target is denoted extended when the target extent is larger than the sensor resolution. A tracking algorithm should be capable of estimating the target extent in addition to the state of the centroid. This paper addresses the problem of tracking an extended target with unknown parameter about the target extent. The extended target is regarded as a spatial distribution model, and the target extent...
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