Damien Jade Duff

Istanbul Technical University · Department of Computer Engineering

We review solutions to the problem of depth estimation, arguably the most important subtask in scene understanding. We focus on the single image depth estimation problem. Due to its properties, the single image depth estimation problem is currently best tackled with machine learning methods, most successfully with convolutional neural networks. We...

We review solutions to the problem of depth estimation, arguably the most important subtask in scene understanding. We focus on the single image depth estimation problem. Due to its properties, the single image depth estimation problem is currently best tackled with machine learning methods, most successfully with convolutional neural networks. We...

We present a formulation of the relative depth estimation from a single image problem, as a ranking problem. By reformulating the problem this way, we were able to utilize literature on the ranking problem, and apply the existing knowledge to achieve better results. To this end, we have introduced a listwise ranking loss borrowed from ranking liter...

We propose a new approach for the problem of relative depth estimation from a single image. Instead of directly regressing over depth scores, we formulate the problem as estimation of a probability distribution over depth and aim to learn the parameters of the distributions which maximize the likelihood of the given data. To train our model, we pro...

In this paper, we present a new approach to real-time tracking and sonification of 3D object shapes and test the ability of blindfolded participants to learn to locate and recognize objects using our system in a controlled physical environment. In our sonification and sensory substitution system, a depth camera accesses the 3D structure of objects...

An empirical investigation is presented of different approaches to sonification of 3D objects as a part of a sensory substitution system. The system takes 3D point clouds of objects obtained from a depth camera and presents them to a user as spatial audio. Two approaches to shape sonification are presented and their characteristics investigated. Th...

Sensory substitution is a technique whereby sensory information in one modality such as vision can be assimilated by an individual in another modality such as hearing. This paper makes use of a depth sensor to provide a spatial-auditory sensory substitution system, which converts an array of range data to spatial auditory information in real-time....

Orientation and rotation averaging are considered as minimisers of a novel and generalisable error metric based on the displacement of points within the object or space being rotated. The resulting metrics and O(N) averaging algorithm are formally equivalent to approaches currently recommended in the literature. The new approach justifies the use o...

We investigate different approaches to integrating object recognition and planning in a tabletop manipulation domain with the set of objects used in the 2012 RoboCup@Work competition. Results of our preliminary experiments show that, with some approaches, close integration of perception and planning improves the quality of plans, as well as the com...

The problem of model-based object tracking in three dimensions is addressed. Most previous work on tracking assumes simple motion models, and consequently tracking typically fails in a variety of situations. Our insight is that incorporating physics models of object behaviour improves tracking performance in these cases. In particular it allows us...

We consider the task of monocular visual motion estimation from video image sequences. We hypothesise that performance on the task can be improved by incorporating an understanding of physically likely and feasible object dynamics. We test this hypothesis by incorporating a physical simulator into a least-squares estimation procedure. We initialise...

Cortical processing of interaural timing differences (ITDs) was investigated with event-related potential (ERP) measurements in 16 human participants who were required in separate tasks to detect or to spatially localize dichotically embedded pitches. ITDs elicited three ERP components labeled ORN, N2, and P400. The ORN occurred at a latency of 150...

Fuzzy Geographic Information Systems (GISs) are part of a qualitative approach to spatial reasoning, and buffering in fuzzy GISs is an operation that is analogous to the core buffering operation in standard GISs. This paper contains an analysis of the implementation of buffering operations over fuzzy GISs represented as fuzzy raster maps, and sugge...