Description of Complex Objects from Multiple Range Images Using an Inflating Balloon Model

نویسندگان

  • Yang Chen
  • Gérard G. Medioni
چکیده

Yang Chen and Gérard Medioni We address the problem of constructing a complete surface model of an object using a set of registered range images. The construction of the surface description is carried out on the set of registered range images. Our approach is based on a dynamic balloon model represented by a triangulated mesh. The vertices in the mesh are linked to their neighboring vertices through springs to simulate the surface tension, and to keep the shell smooth. Unlike other dynamic models proposed by previous researchers, our balloon model is driven only by an applied inflation force towards the object surface from inside of the object, until the mesh elements reach the object surface. The system includes an adaptive local triangle mesh subdivision scheme that results in an evenly distributed mesh. Since our approach is not based on global minimization, it can handle complex, non-star-shaped objects without relying on a carefully selected initial state or encountering local minimum problem. It also allows us to adapt the mesh surface to changes in local surface shapes and to handle holes present in the input data through adjusting certain system parameters adaptively. We present results on simple as well as complex, non-star-shaped objects from real range images.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Moving Objects Tracking Using Statistical Models

Object detection plays an important role in successfulness of a wide range of applications that involve images as input data. In this paper we have presented a new approach for background modeling by nonconsecutive frames differencing. Direction and velocity of moving objects have been extracted in order to get an appropriate sequence of frames to perform frame subtraction. Stationary parts of ...

متن کامل

مطالعه‌ای بر رمز‌نگاری بصری و ارائه‌ی روش پیشنهادی برای رمزنگاری تصاویر رنگی

Visual cryptography is a method that makes use of the characteristics of human vision and it requires neither the knowledge of cryptography nor the complex calculations. This method was first proposed by Naor and Shamir, its implementation is simple, it has been extended to an secrect sharing (k, n) in which n shares are made from the image and they are distributed among n participants. Moreov...

متن کامل

Moving Objects Tracking Using Statistical Models

Object detection plays an important role in successfulness of a wide range of applications that involve images as input data. In this paper we have presented a new approach for background modeling by nonconsecutive frames differencing. Direction and velocity of moving objects have been extracted in order to get an appropriate sequence of frames to perform frame subtraction. Stationary parts of ...

متن کامل

طراحی و پیاده‌سازی سامانۀ بی‌درنگ آشکارسازی و شناسایی پلاک خودرو در تصاویر ویدئویی

An automatic Number Plate Recognition (ANPR) is a popular topic in the field of image processing and is considered from different aspects, since early 90s. There are many challenges in this field, including; fast moving vehicles, different viewing angles and different distances from camera, complex and unpredictable backgrounds, poor quality images, existence of multiple plates in the scene, va...

متن کامل

Geometric and Photometric Merging for Large-scale Objects

In this thesis, we consider the geometric and photometric modeling of large-scale and intricately shaped objects, such as cultural heritage objects. When modeling such objects, new issues occurred during the modeling steps which had not been considered in the previous research conducted on the modeling of small, indoor objects. Since the entire data of these objects cannot be obtained by a sing...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Computer Vision and Image Understanding

دوره 61  شماره 

صفحات  -

تاریخ انتشار 1995