The paper first discusses early work that predated internet art and that was concerned with active audience participation in electronic art and describes the path of development of the first author’s artworks that have looked at human to human communication through electronic (computer) systems from 1970 until today. The fundamental concept has been to make artworks that explore human communica...

• a short biography of John Doe. – born on April 3rd, 1975 in Smallville. His birth was registered on April 4th, 1975. – He went to live on his own in Bigtown. Although he moved out on August 26th, 1994, he forgot to register the change of address officially. – He updated his record on December 27, 1994. – John Doe was accidentally hit by a truck on April 1st, 2001. The coroner reported his dat...

Language engineers often point to tight connections between their systems’ linguistic representations and accumulated sensor data as a sign that their systems really mean what they say. While we believe such connections are an important piece in the puzzle of meaning, we argue that perceptual grounding alone does not suffice to explain the specific, stable meanings human speakers attribute to e...

In this paper, we present a general approach to shape characterization and deformation analysis of 2D/3D deformable visual objects. In particular, we define a reference dynamic model, encoding morphological and functional properties of an objects class, capable to analyze different scenarios in heart left ventricle analysis. The proposed approach is suitable for generalization to the analysis o...

Just as computer graphics is concerned with synthesizing and rendering visual images, computer haptics is the art and science of developing software algorithms that synthesize computer generated forces to be displayed to the user for perception and manipulation of virtual objects through touch. The goal of haptic rendering is to enable a user to touch, feel, and manipulate virtual objects throu...

Current object recognition methods fail on object sets that include both diffuse, reflective and transparent materials, although they are very common in domestic scenarios. We show that a combination of cues from multiple sensor modalities, including specular reflectance and unavailable depth information, allows us to capture a larger subset of household objects by extending a state of the art ...

There has been a recent push in extraction of 3D spatial layout of scenes. However, none of these approaches model the 3D interaction between objects and the spatial layout. In this paper, we argue for a parametric representation of objects in 3D, which allows us to incorporate volumetric constraints of the physical world. We show that augmenting current structured prediction techniques with vo...

Point Pair Features is a widely used method to detect 3D objects in point clouds, however they are prone to fail in presence of sensor noise and background clutter. We introduce novel sampling and voting schemes that significantly reduces the influence of clutter and sensor noise. Our experiments show that with our improvements, PPFs become competitive against state-of-the-art methods as it out...

A k nearest neighbor (k-NN) query retrieves k objects in a given objects set which are closest to the query point q. Processing continuous k-nearest neighbor (k-NN) query over moving objects in location-dependent application requires that the frequent location updates of moving objects and intensive continuous k-NN queries must be efficiently processed at the same time. In this paper, we propos...

We consider the problem of scaling deep generative shape models to high-resolution. To this end, we introduce a novel method for the fast up-sampling of 3D objects in voxel space by super-resolution on the six orthographic depth projections. We demonstrate the training of object-specific super-resolution CNNs for depth maps and silhouettes. This allows us to efficiently generate high-resolution...