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Segmentation and visualisation of the hippocampus can assist with early detection and intervention for a number of brain diseases. This paper describes a semi-automatic segmentation approach that produces accurate results with a significant reduction in operator effort compared with manual segmentation. A Geometric Deformable Model incorporates global constraints to solve many of the problems associated...
Face recognition is an important technique for Natural User Interface (NUI) and Human Robot Interaction (HRI) and many of the current state-of-the-art face recognition techniques are based on the local features which are extracted from a face alignment method like Constrained Local Model (CLM). But, in a real world environment, face alignment methods often fail to correctly localize the features because...
Too much irregularity in shapes of intraclass images poises an intrinsic challenge for recognition of handwritten alpha-numeric characters. We propose, in this paper, a perimetric complexity based handwritten numeral recognition that is inspired from gestalt configural superiority effect. A point-wise correspondence is obtained from the matching of shape context using affine transformation. A set...
A novel robot arm called deformable arm for the service robot is presented in this paper. A flexible working space and the ability to deal with multiple tasks are obtained with a single arm by changing the arm shape. However more flexible use brings difficulties in actual use, the arm's parameters will be changed with the different arm structure and cannot be calibrated with conventional methods....
In the paper we present an efficient technique for parameterized human body model, which not only utilizes the proportional transformation as most of the previous work have done, but also concentrates on partial transformation about critical parts. Based on the standard template model, various body sizes can be generated by changing of feature parameters. Moreover, we employed physic characteristics...
This paper aims to provide a more convenient interaction approach for users who can manipulate or build his pleasurable car model by adjusting semantic properties. Since specific aesthetic property is determined by semantic key lines, adjusting these lines obeying particular curve styling property will manipulate car model semantically. An interface is designed to change styling properties with modification...
Concave region partitioning is valuable for object modeling and recognition. A key issue to the design of an efficient partitioning method is on the selection of cut points. In this paper, we propose to use imbalanced points in a region to characterize cut points in the contour of the region, motivated by the good corner nature of imbalanced points. Specifically, we formulate a concave region as a...
We developed an automated lung segmentation method, which uses deformable model with sparse shape composition prior for patients with compromised lung volumes with severe pathologies in CT. Fifteen thoracic computed tomography scans for patients with lung tumors were collected and reference lung ROIs in each scan was manually segmented to assess the performance of the method. First, sparse shape composition...
This paper aims at presenting some methods of representing image's features that help detect and classify vehicles from video. Proposed methods include: Method of representing shape, contour of vehicle or block of vehicle that can be classified. Paramaters of the Image's length in combination with parmaters of visual length of object that can used to classify object type or separate object. Use genaral...
Tracking non-rigid objects from video is useful in robotic systems such as HMIs or robotic manipulator arms which interact with deformable objects. This paper proposes a method for sequential model-based 3D reconstruction of deformable objects and camera localization in real time. Non-rigid SFM methods commonly process a video sequence offline in a batch way. While there are real-time methods for...
The lack of haptic feedback during minimally invasive surgery can cause significant tissue damage and increase morbidity. Estimating the applied force from endoscopic images is a promising approach, especially using binocular images. However, many existing operation rooms are only equipped with monocular endoscopes, making force estimation more problematic. In this paper a new method for estimating...
Considerable evidence suggests that the lateral line system serves an important role in fish-like locomotion by providing hydrodynamic information about the surrounding fluid. In this paper, a fish-like locomotion model is developed in an ideal fluid with a background flow estimation algorithm inspired by the lateral line system. Specifically, the fish model is geometrically formulated with the Joukowski...
In this paper, we propose a method for spotting keywords in images of handwritten text. Relying on an object detection system in real images, local contour features are extracted from segmented word images in order to obtain a representative shape of a word-class. Thus, word spotting is cast following a query-by-word-class scenario where class models are generated using a random subset of the images...
Information about abdominal wall can be used for many applications from organ segmentation, registration, and surgical simulation. The challenges exist in abdominal wall extraction due to its varieties in shapes, connection to the internal organs and anterior layer edge formed between the muscle and fascia/fatty layer, which may distract the shape model. In this paper we present an approach to the...
Three-dimensional (3D) endocardium visualization plays an extremely important role in localization and ablation of target areas and can improve the cure rate in computer-aided cardiac surgery. In this paper, we discuss how to reconstruct and update the corresponding endocardium surface model quickly and accurately based on the sparse point cloud that is collected dynamically on the left atrial intima...
High incidence cases associated with back pain include intervertebral disc degeneration (IDD), or disc herniation, in the spinal lumbar region, as well as sciatica, pain in the legs due to IDD. This research aims to provide a more accurate and robust segmentation scheme for identification of spine pathologies, to assist with spine surgery planning and simulation. We are developing a minimally supervised...
We present a novel image segmentation method based on statistical shape model fitting. Instead of fitting the model to raw intensity values we consider object probabilities. The abstraction from the plain intensity images to probability maps makes the segmentation more robust against misleading texture inside the object or surrounding background. The target object probability is predicted based on...
3D Printing or Additive Manufacturing (AM), refers to a new class of technologies of making products directly from any three-dimensional digital models. Broader applications of AM require to lower the cost of AM machines. However, products fabricated by low-end machines suffer from the issue of low dimensional accuracy. In this paper, we intend to address this issue for Fused Deposition Modeling (FDM)...
In this paper, we propose a hybrid model-based tracker for simultaneous tracking of 3D head pose and facial actions in sequences of texture and depth frames. Our tracker utilizes a generic wireframe model, the Candide-3, to represent facial deformations. This wireframe model is initially fit into the first frame by an Iterative Closest Point algorithm. Given the result after the first frame, our tracking...
Cirrhosis liver is a terrible disease which is threatening our lives. Meanwhile, cirrhosis will cause significant hepatic morphological changes. While it is well known that the livers from different subjects have similar global shape structure which means liver shape ensemble should be low-rank. However the deformation which caused by cirrhosis can be considered as sparse compared with the whole liver...
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