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Person recognition from gait images is generally not robust to changes in appearance, such as variations of the walking direction. In general conventional methods have focused on training a model to transform gait features or gait images to those at a different viewpoint, but the performance gets worse in case the model is not trained at a viewpoint of a subject. In this paper we propose a novel gait...
As laser scanners become widely used in 3D data acquisition of industrial sites, one challenging problem emerges: given two data of the same site scanned/modeled at different times, how can we tell the difference between the two? In this paper, we formulate this problem as the 3D change detection problem, and propose a novel method for detecting object-level changes. In general, we notice that the...
Software as a Service (SaaS) providers can serve thousands of customers, which have hundreds of thousands of overlapping requirements, using a single application instance to offer service at a lower price. Even with a potentially large number of customers with varying requirements, a multitenant application should make co-tenancy transparent to the tenants, which means that every tenant must appear...
The automated computation of muscle volume from MRI of human legs is an open problem in the biomédical imaging community. Such automation has the potential to provide an objective measure of effectiveness of pre- and post-surgery treatments. In this paper, we take a step toward automation by proposing a framework for user interactive segmentation of MRI of human leg muscles. Our framework is built...
Recent development and innovations in advanced 3D scanning mechanism has boosted the modelling of 3D objects for several domain related applications. Here we propose a framework for 3D Object retrieval process. Hence for the fruitful retrieval from the warehouse efficient searching techniques are required. In this paper, combination of different methods which are rotation estimation, feature extraction,...
Interactive 3D models are becoming an important tool for presenting views of prehistoric and historical sites and educating audiences about the past. These models can help both specialists and non-specialists to visualize historical landscapes. However many modeling projects are moving beyond just focusing on the visual to linking informative content to the 3D representation for research purposes...
This paper proposes a 3D model retrieval system based on three-views hand-drawn sketches. In the system, users can express their desired 3D models by drawing three sketches from front, side and top viewing directions, and the system can automatically returns a set of 3D models whose 2D views are similar to the input sketches. Fourier Descriptors and HOG are integrated as features which are used to...
We discuss about practical consideration of 3D object detection and pose estimation using an RGBD sensor for interactive robotic manipulation. Template matching based object detection with an RGBD data works good, but it requires further pose refinement for a robot to manipulate it. The pose data can be used to augment a virtual object in the scene so that a user can manipulate it intuitively. In...
Five fully automatic methods for X-ray digital mammogram enhancement based on a fast analytical textural model are presented. These efficient single and double view enhancement methods are based on the underlying two-dimensional adaptive causal autoregressive texture model. The methods locally predict breast tissue texture from single or double view mammograms and enhance breast tissue abnormalities,...
We propose an image-based virtual fitting system to reproduce the appearance of fitting during online shopping for garments. Inputs are whole-body images of a fashion model and the customer. We create a garment image by cutting out the garment portion from the image of the fashion model. If the garment images were naïvely superimposed, the fitting result would look strange mainly because the shape...
Virtual organisations and product modelling represents domains with significant developments since mid 1990's. Various techniques developed under the scope of Mechanical Engineering Systems leads to the need of an integrated multi-view model concept. The paperwork presents the findings of a study for a PDM application proposed to be used for virtual organisations. Models of product, organisation and...
Intelligent object manipulation is critical for a robot to effectively operate in a household environment. There are many grasp planners that can estimate grasps based on object shape, but these approaches often perform poorly because they miss key information about non-visual object characteristics. Object model databases can account for this information, but existing methods for database construction...
This article focuses on the problem of modifing the standard face identification approach for use in small-scale social dynamic environments, by focusing on adaptability rather than robustness. A design of adaptive face identification system is presented, along with the employed methods of online learning. The problem of ensuing bias-variance dilemma of an adaptive system is described and solved....
Data uncertainty in face recognition due to various environmental factors and spoofing face recognition with 3D- masks are two major threats to gain illegitimate access. A single image of face has got high uncertainty in representing the face since the face image varies with illumination, facial expression and pose. Thus a face image can only be considered as an observation but not an absolute accurate...
An approach to jointly estimate 3D shapes and poses of stained nuclei from confocal microscopy images, using statistical prior information, is presented. Extracting nuclei boundaries from our experimental images of cell migration is challenging due to clustered nuclei and variations in their shapes. This issue is formulated as a maximum a posteriori estimation problem. By incorporating statistical...
One of the greatest challenges in automated planning in industrial environments is to create the link between a real world scenario and symbolic representations that are used by a planner. In this paper we describe an approach to interface a planner with a close-to-reality simulation system. By using this approach, we move the problematic interface with a physical scenario to the simulation system,...
In this paper, a novel method for real-time pose-invariant face recognition is proposed from only a single image in a gallery including any facial expressions. A 3D Facial Expression Generic Elastic Model (3D FE-GEM) is proposed to reconstruct 3D model of each human face in the present database using only a single 2D frontal image. Then, for each person in the database, a Triplet Pose Sparse Matrix...
Robust and precise face tracking under unconstrained imaging conditions is still a challenging task. Recently, the Constrained Local Model (CLM) framework has proven to be very powerful to track frontal and near frontal facial movements. In this paper, we introduce a Pose-Adaptive CLM which is able to accurately track large 3D head rotations. This model relies on two main parts: (1) an adaptive 3D...
In this paper, a novel method is proposed for person-independent pose-invariant facial expression recognition based on 3D face reconstruction from only 2D frontal images in a training set. A 3D Facial Expression Generic Elastic Model (3D FE-GEM) is proposed to reconstruct an expression-invariant 3D model of each human face in the present database using only a single 2D frontal image with/without facial...
3D object recognition from 3D scenes, is one of the challenges of several researchers in the field of computer vision, engineering and Robotics. The occlusion is one of the problems that we can found. One of the possible solutions in this situation is to find a part of an object in the scene that can be identified. For this reason, we are mainly interested to partial shape retrieval methods. In this...
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