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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...
Researches on 3D facial expression recognition have been extensively promoted in recent years, yet automatic 3D facial expression recognition is still a challenging problem. In this paper, we propose an easy-handled approach to address this problem and consequently improve its performance. In the approach, a 2D-image-like structure is utilized to represent the 3D models so that we can automatically...
Construction society is an environment that involves multi-disciplinary design efforts. The various subsystems of construction society organize their decisions and actions for the accomplishment of their common plan, the design and construction of a building artifact. This paper argues that the quality of the final building artifact is affected by the organizational patterns that its begetters inherit...
Remarkable progress has been made in intelligent transportation systems. For example, an autonomous vehicle can detect its position, other vehicles, pedestrians, and obstacles. Pedestrians with a smartphone can determine their position and send this information to the Internet. Even though vehicles and pedestrians can instantly determine their positions that information is mostly used within a narrow...
Object recognition and manipulation are critical in enabling robots to interact with objects in a household environment. Construction of 3D object recognition databases is time and resource intensive, often requiring specialized equipment, and is therefore difficult to apply to robots in the field. We present a system for constructing object models for 3D object recognition and manipulation made possible...
Facial expression synthesis has drawn a lot of attention in many applications, such as facial animation and human-computer interactions. Some expression synthesis methods are conducted in 2D domain where only images are taken as input but the muscle deformation is usually neglected regardless of different expressions. Methods performed in 3D domain generate more natural synthesized images but require...
Indoor navigation is very useful in reality. An indoor navigation system requires an appropriate indoor model that represents the indoor space entities as well as topology and supports indoor distance computation. Indoor distance computation differs significantly from its outdoor counterpart, due to the indoor space characteristics. On the other hand, information about an indoor space is described...
Vision-based methods have gained popularity as a tool for helping to analyze the behavior of bats. Though, for bats in the wild, there are still no tools capable of estimating and subsequently analyzing articulated 3D bat pose. We propose a model-based multi-view articulated 3D bat pose estimation framework for this novel problem. Key challenges include the large search space associated with articulated...
This paper presents an evaluation of the state-of-the-art face recognition using 2D, 3D and multimdal imagery methods. The twofold motivations are: (i) to provide the insight studies of automatic face recognition of 2D and 3D face imagery methods and (ii) to critically review the exiting 2D and 3D face recognition methods. Research trends to date are summarized, and challenges confronting the development...
Fingerprint has been one of the most successful biometrics applied in both forensic law enforcement and security applications. Fingerprint acquisition, for many years, has been accomplished by first pressing a finger on a hard plane and then converting the image into a digital form. Recent developments in fingerprint acquisition technology have resulted in touchless live scan devices that generate...
Recent researches in three-dimensional (3D) face recognition area have proved that, 3D face recognition methods, achieve better accuracy than its 2D counterpart. One of the main advantages of 3D face recognition methods is that it measures the geometry of rigid features on the human face, due to which it becomes an invariant to illumination, expressions and rotations of head (pose variation). But...
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