Hair Shape Modeling from Video Captured Images and CT Data

نویسندگان

  • Ali
  • Md. Haider
  • Toyohisa Kaneko
چکیده

We propose a three-dimensional (3D) reconstruction method of human hair-shape from rotating head multiple video captured images and CT data. It is well known that no hair is present on the polygonal skin surface of the human head (3D-head) reconstructed from CT or MRI data. Our task is to reconstruct and add the hairshape on the 3D-head to create a realistic human head model for simulating post-surgical facial expressions. Using a sculpturing technique based upon rotating head images we propose a method of reconstructing the hairshape with the help of 3D-head. We have utilized binarized voxel data of the 3D-head (solid-head) in this regard. The sculpturing object in our definition is the solid-head surrounded by assumed thick hair-voxels. We sculpture the surrounding hair-voxels according to the extracted hair-region from the video captured images while keeping the internal solid-head intact. We reconstruct the concave and semi-occluded regions by digging up to the visible skin surface of the solid-head in/near the hair region. We define complete-head as the 3D polygonal surface obtained from solid-head including the residue-sculptured hair-voxels on it. Experimentally we have shown that our method can successfully reconstruct the concave and semi-occluded regions in the skin-hair junction regions, which is not easy to reconstruct by the conventional way.

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

Design and Fabrication Process of MTF Phantom CT Scan

Introduction: One of the main steps in the optimization process in diagnostic imaging is the quality control of radiology devices. The usual method of CT scan calibration is used of a phantom. The phantom created a certain weakening for the radiation through which it passes. One of the most suitable methods for quantitative analysis of the resolution and contrast in CT scan im...

متن کامل

Automatic segmentation and statistical shape modeling of the paranasal sinuses to estimate natural variations

We present an automatic segmentation and statistical shape modeling system for the paranasal sinuses which allows us to locate structures in and around the sinuses, as well as to observe the natural variations that occur in these structures. This system involves deformably registering a given patient image to a manually segmented template image, and using the resulting deformation field to tran...

متن کامل

Simulation Guided Hair Dynamics Modeling from Video

In this paper we present a hybrid approach to reconstruct hair dynamics from multi-view video sequences, captured under uncontrolled lighting conditions. The key of this method is a refinement approach that combines image-based reconstruction techniques with physically based hair simulation. Given an initially reconstructed sequence of hair fiber models, we develop a hair dynamics refinement sy...

متن کامل

Prediction of in-vivo Knee Joint Kinematics using a Statistical Shape Modeling

Introduction: Using computed tomography (CT) or magnetic resonance (MR) images to construct 3D knee models has been widely used in biomedical engineering research. Statistical shape modeling (SSM) method is an alternative way to provide a fast, cost-efficient, and subject-specific knee modeling technique. Further, 3D models can be used with a Dual-Fluoroscopic Imaging System (DFIS) to study joi...

متن کامل

Reconstruction of 3D Models from Intensity Images and Partial Depth

This paper addresses the probabilistic inference of geometric structures from images. Specifically, of synthesizing range data to enhance the reconstruction of a 3D model of an indoor environment by using video images and (very) partial depth information. In our method, we interpolate the available range data using statistical inferences learned from the concurrently available video images and ...

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:

دوره   شماره 

صفحات  -

تاریخ انتشار 2000