Depth reconstruction from video footage and image collections is a fundamental part of many modelling and image-based rendering applications. However real-world scenes often contain limited texture information, repeated elements and other ambiguities which remain challenging for fully automatic algorithms. This paper presents a technique that combines intuitive user constraints with dense multi...

Background: Love trauma syndrome includes a set of symptoms manifesting after the end of an emotional relationship and negatively affecting performance in various areas. Objectives: The current study aimed at determining the effect of object relations mediated by cognitive emotion regulation on the prediction of love trauma syndrome in female students. Methods: The correlation-based structura...

This paper deals with the problems of grasp planning and force computation that occur when objects have to be manipulated with dextrous multi-finger robot hands. Assuming that the initial contact points at the object surface are pre-selected, the joint motions to perform a desired operation according to a given object trajectory are determined. This is done under the consideration of the effect...

This paper investigates how to extract objects-of-interest without relying on handcraft features and sliding windows approaches, that aims to jointly solve two subtasks: (i) rapidly localizing salient objects from images, and (ii) accurately segmenting the objects based on the localizations. We present a general joint task learning framework, in which each task (either object localization or ob...

the main purpose of design in civil engineering is to establish a project which has the most versatility on the expected needs and existing conditions. through optimization this is equivalent to determination of a group of design variables that cause minimizing the object function versus imposed loads, restraints and predetermined parameters. in this research, genetic algorithm method is used t...

Multi-dimensional Visual Tracking (MVT) problems include visual tracking tasks where the system state is defined by a high number of variables corresponding to multiple model components and/or multiple targets. A MVT problem can be modeled as a dynamic optimization problem. In this context, we propose an algorithm which hybridizes Particle Filters (PF) and the Scatter Search (SS) metaheuristic,...

this article deals with the issues associated with developing a new design methodology for the nonlinear model-predictive control (mpc) of a chemical plant. a combination of multiple neural networks is selected and used to model a nonlinear multi-input multi-output (mimo) process with time delays.  an optimization procedure for a neural mpc algorithm based on this model is then developed. the p...

In order to solve the problem of target ID switching caused by occlusion and insufficient information location extraction in JDE(joint detection embedding) algorithm, an improved multi-target tracking algorithm based on JDE is proposed this paper. Firstly, SPA feature space pyramid attention module used expand receptive field obtain more abundant semantic improve accuracy model for different sc...

A general framework simultaneously addressing pose estimation, 2D segmentation, object recognition, and 3D reconstruction from a single image is introduced in this paper. The proposed approach partitions 3D space into voxels and estimates the voxel states that maximize a likelihood integrating two components: the object fidelity, that is, the probability that an object occupies the given voxels...

We describe the application of a recently developed deliberative perception framework to the task of multiobject instance recognition in warehouse environments. Traditional object recognition pipelines based exclusively on discriminative feature-matching and/or statistical learners are often sensitive to inter-object occlusions and the training data used. Deliberative approaches such as PERCH t...