Day: January 1, 2016

Recognition of Ancient Roman Coins

1. Problem Formulation

For a given Roman coin image, the goal is to recognize who is on the coin

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There are thousand of different ways to define the Roman coins. For example, we can … Read the rest

1. Abstract

Tracking human faces has remained an active research area among the computer vision community for a long time due to its usefulness in a number of applications, such as video surveillance, expression analysis and human-computer interaction. An automatic … Read the rest

*Chongyu Chen was with Nanyang Technological University*

1. Abstract.

Existing depth recovery methods for commodity RGB-D sensors primarily rely on low-level information for repairing the measured depth estimates. However, as the distance of the scene from the camera increases, the … Read the rest

A result sample of our 3D face tracker, where (a) shows the 3D landmarks projected onto image plane, (b,c) show the 3D blendshape model and the input point cloud, and (d) shows the skinned 3D shape.

1. Abstract.

We introduce … Read the rest

Abstract

Video segmentation is a stepping stone to understanding video context. Video segmentation enables one to represent a video by decomposing it into coherent regions which comprise whole or parts of objects. However, the challenge originates from the fact that … Read the rest

Sea level prediction is a complicated spatial temporal regression problem that draw a lot of attention these days. Understanding sea level behavior can help us know more about climate change and consequent effects.  However, predicting sea level is not really … Read the rest

The research I have been working on is String Kernel Methods for DNA sequence analysis, under the supervision of Prof. Pavlovic. I focus on the problem of species-level identification based on short DNA fragments known as barcodes. Kernel methods approach … Read the rest

Problem Definition

Financial decisions with respect to investing in industry based indices are often based on heuristics and non-standard methods or purely based on the company specific algorithmic methods. In-depth analysis of the historic stock market behavior and dynamics among … Read the rest

Conditional Random Fields (CRFs) and Hidden Conditional Random Fields (HCRFs) are a staple of many sequence tagging and classification frameworks. An underlying assumption in those models is that the state sequences (tags), observed or latent, take their values from a … Read the rest

1. Overview

Modeling and classification of human actions are important problems that have received significant attention in pattern recognition.  Mocap data is widely available and can serve as a good proxy for assessing action models before they are applied to … Read the rest