Real-time 3D semi-local surface patch extraction using GPGPU

Feature vectors can be anything from simple surface normals to more complex feature descriptors. Feature extraction is important to solve various computer vision problems: e.g. registration, object recognition and scene understanding. Most of these techniques cannot be computed online due to their complexity and the context where they are applied. Therefore, computing these features in real-time for many points in the scene is impossible. In this work, a hardware-based implementation of 3D feature extraction and 3D object recognition is proposed to accelerate these methods and therefore the entire pipeline of RGBD based computer vision systems where such features are typically used. The use of a GPU as a general purpose processor can achieve considerable speed-ups compared with a CPU implementation. In this work, advantageous results are obtained using the GPU to accelerate the computation of a 3D descriptor based on the calculation of 3D semi-local surface patches of partial views. This allows descriptor computation at several points of a scene in real-time. Benefits of the accelerated descriptor have been demonstrated in object recognition tasks. Source code will be made publicly available as contribution to the Open Source Point Cloud Library.

La expansión urbanística reciente de la costa alicantina, una realidad constatable

Se propone analizar la ocupación del suelo durante las dos últimas décadas en la costa de la provincia de Alicante; para ello se plantea estudiar las características de las nuevas ocupaciones, así como los nuevos modelos de ocupación urbana y territorial. Estas nuevas tendencias territoriales suponen un cambio importante en la utilización del territorio que conlleva nuevas relaciones espaciales y funcionales. Los objetivos del trabajo se centran, por tanto, en la identificación y caracterización de las áreas de nuevo crecimiento reciente y su evaluación cuantitativa —superficie, densidad, etc.— y cualitativa —nuevos paisajes, morfologías, etc. La metodología planteada parte del análisis gráfico y estadístico para abordar su consideración cuantitativa, posteriormente. A partir de la comparación entre las imágenes satelitales ofrecidas por el proyecto europeo Corine Land Cover en la Comunidad Valenciana correspondientes a los años 1990 y 2006, se identifican las principales áreas de crecimiento durante estas etapas. Una vez definidas dichas áreas de crecimiento, se plantea abordar el análisis gráfico en detalle, a partir de las fotografías aéreas correspondientes a las fechas más cercanas a las de Corine Land Cover. Por otro lado, las diferentes bases estadísticas ofrecidas por las distintas administraciones públicas permiten cuantificar dichos crecimientos y evaluar sus densidades. Los resultados esperados se centran en la caracterización y definición de los nuevos modelos de ocupación urbana en el litoral alicantino, así como las características territoriales del nuevo urbanismo reciente. La identificación de esos nuevos modelos residenciales permite incidir en las futuras planificaciones y planeamiento, tanto territorial como municipal.

Comparative study of RPSALG algorithm for convex semi-infinite programming

The Remez penalty and smoothing algorithm (RPSALG) is a unified framework for penalty and smoothing methods for solving min-max convex semi-infinite programing problems, whose convergence was analyzed in a previous paper of three of the authors. In this paper we consider a partial implementation of RPSALG for solving ordinary convex semi-infinite programming problems. Each iteration of RPSALG involves two types of auxiliary optimization problems: the first one consists of obtaining an approximate solution of some discretized convex problem, while the second one requires to solve a non-convex optimization problem involving the parametric constraints as objective function with the parameter as variable. In this paper we tackle the latter problem with a variant of the cutting angle method called ECAM, a global optimization procedure for solving Lipschitz programming problems. We implement different variants of RPSALG which are compared with the unique publicly available SIP solver, NSIPS, on a battery of test problems.

SMEs and Level 2 BIM, the Way Forward

The UK construction industry comprises a very high proportion of SMEs that is companies employing up to 250. A Department for Business, Innovation and Skills research paper, found that SMEs had a 71.2% share of work in the construction industry. Micro and small firms (i.e. those employing up to 50) had a share of 46.7% of work (Ive and Murray 2013). The Government has high ambitions for UK construction. Having been found by successive government commissioned studies to be inefficient and highly fragmented, ambitious targets have been set for the industry to achieve 33% reduction in costs and 50% faster delivery by 2025. As a significant construction client, the Government has mandated the use of Level 2 BIM from 2016 on publicly funded projects over £5 million. The adoption of BIM plays a key role in the 2025 vision but a lack of clarity persists in the industry over BIM and significant barriers are perceived to its implementation, particularly amongst SMEs. However, industry wide transformation will be challenging without serious consideration of the capabilities of this large majority. Many larger firms, having implemented Level 2 BIM are now working towards Level 3 BIM while many of the smaller firms in the industry have not even heard of BIM. It would seem that fears of a ‘two tier’ industry are perhaps being realised. This paper builds on an earlier one (Mellon & Kouider 2014) and investigates, through field work, the level of Level 2 BIM implementation amongst SMEs compared to a large organisation. Challenges and innovative solutions identified through collected data are fully discussed and compared. It is suggested that where the SME perceives barriers towards adoption of the technologies which underpin BIM, they may consider collaborative methods of working as an interim step in order to work towards realising the efficiencies and benefits that these methods can yield. While the barriers to adoption of BIM are significant, it is suggested that they are not insurmountable for the SME and some recommendations for possible solutions are made.