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In this paper we address the problem of pose independent face recognition with a gallery set containing one frontal face image per enrolled subject while the probe set is composed by just a face image undergoing pose variations. The approach uses a set of aligned 3D models to learn deformation components using a 3D Morph able Model (3DMM). This further allows fitting a 3DMM efficiently on an image...
The use of hepatic-like cloned cord lining epithelial cells (CLEC) to enhance liver regeneration has been proposed, but has not been properly investigated in a large animal study. The paper presents a system developed for the longitudinal in-vivo volumetry study on porcine liver regeneration from computed tomography (CT) data. In this system, a rough 3D liver volume is firstly automatically segmented...
We introduce a morph able template for dressed human modeling, called Morph able Dressed Human (MDH) template. The template is obtained by learning basic functions from two common types of clothes (long shirts and trousers) and defining a deform-combine manipulation. Our MDH template is parametric, spans variation in both clothes and body/pose, and can generate various dressed human shapes. The template...
The GRID/form let representation of planar shape has a number of nice properties, but there are also limitations: it is slow to converge for shapes with elongated parts, and it can be sensitive to parameterization as well as grossly ill-conditioned. Here we describe a number of innovations on the GRID/form let model that address these problems: 1) By generalizing the form let basis to include oriented...
This paper addresses the problem of group path planning while maintaining group coherence and persistence. Group coherence ensures that a group minimizes both longitudinal and lateral dispersion, and is achieved with the introduction of a deformation penalty to the cost formulation. When the deformation penalty is significantly high, a group may split and later merge. Group persistence is modeled...
Endowing mobile manipulation robots with skills to use objects and tools often involves the programming or training on specific object instances. To apply this knowledge to novel instances from the same class of objects, a robot requires generalization capabilities for control as well as perception. In this paper, we propose an efficient approach to deformable registration of RGB-D images that enables...
Liver volumetry is considered to be an accurate indicator of hepatic function and a prognostic indicator in hepatic surgery planning. Despite many years of research, automated liver segmentation remains an open challenge and manual segmentation is still widely used clinically although it is time-consuming and tedious. In this paper we propose a novel semi-automated segmentation method based on deformable...
Extracting anthropometric or tailoring measurements from 3D human body scans is important for applications such as virtual try-on, custom clothing, and online sizing. Existing commercial solutions identify anatomical landmarks on high-resolution 3D scans and then compute distances or circumferences on the scan. Landmark detection is sensitive to acquisition noise (e.g. holes) and these methods require...
In this paper, we are interested to segment brain MR perfusion image using active contours or deformable models in order to assist in diagnosis. Traditional methods are often unable to perform adequately on these types of images which have poor contrast, high-level speckle noise and boundary gaps. For this purpose, we propose a Modified Fuzzy C Means method combined with the Adaptive Diffusion Flow...
This paper proposes a new method to Detect Copy Move Forgery using shape signatures derived from distance map. The method is simple, fast, robust, efficient as compared to traditional approaches and is invariant to scale, rotation and aspect ratio.
Facial feature detection algorithms have seen great progress over the recent years. However, they still struggle in poor lighting conditions and in the presence of extreme pose or occlusions. We present the Constrained Local Neural Field model for facial landmark detection. Our model includes two main novelties. First, we introduce a probabilistic patch expert (landmark detector) that can learn non-linear...
We address the problem of joint detection and segmentation of multiple object instances in an image, a key step towards scene understanding. Inspired by data-driven methods, we propose an exemplar-based approach to the task of multi-instance segmentation using a small set of annotated reference images. We design a novel CRF model that jointly models object appearance, shape deformation, and object...
In this paper, we propose a data-driven approach for realistic deformation of articulated meshes: the wide availability of pose data makes such an approach feasible. We use multiple reference models, combined with a fast linear blending skinning (LBS) method in local spaces. By exploiting information from the reference models, realistic deformation is achieved, yet with computational efficiency comparable...
In this work we present a local comparison approach of deformable 3D models. Two types of deformation are discussed. The first is volume change which is caused by either an increase or a decrease of the body volume. In the second type of deformation, the volume of the model is not altered but the change in shape results from either an articulation or a bending of parts of the object. Our strategy...
Virtual Endoscopy is a perspective tool for noninvasive tumor detection inside the bladder compared with optical endoscopy. Since the shape, size, position, and relations of a bladder are dependent on the amount of urine, the body position and the age of the person, it would be difficult to compare morphological or intensity features of patient's bladder at different filling stages or bladders with...
In order to make a diagnosis of cardiovascular disease, the edge of ventricular endometrial and skeleton line of ventricular septum are extracted by using computer-aided diagnosis techniques, and some shape analyses are done with the results, including the calculation of length of ventricular endometrial edge which plays an important role in analyzing heart contractions motion and the ventricular...
In this paper, we propose an efficient method to reconstruct the 3D models of a human face from a single 2D face image robustness under a variety facial expressions using the Deformable Generic Elastic Model (D-GEM). We extended the Generic Elastic Model (GEM) approach and combined it with statistical information of the human face and deformed generic depth models by computing the distance around...
In this paper, we propose a method of recognizing the state of a clothing item by using three-dimensional(3D) data observed from multiple directions in an integrated manner. The situation dealt with in this paper is that a clothing item is observed from different directions by rotating it along a vertical axis. First, sets of 3D points obtained from each observation are integrated on a depth buffer...
In this paper, we propose an efficient method to reconstructing the 3D models of a human face from a single 2D face image robustness under a variety facial expressions using the Deformable Generic Elastic Model (D-GEM). We extended the Generic Elastic Model (GEM) approach and combined it with statistical information of the human face and deformed generic depth models by computing the distance around...
Deformable model fitting to high-resolution facial images has been extensively studied for over two decades. However, due to the ill-posed problem caused by low-resolution images, most existing work cannot be applied directly and degrades quickly as the resolution decreases. To address this issue, this paper extends the Constrained Local Model (CLM) to a multi-resolution model consisting of a 4-level...
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