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Events for July 25, 2018
Wed, Jul 25, 2018
Viterbi School of Engineering Undergraduate Admission
This half day program is designed for prospective freshmen (HS juniors and younger) and family members. Meet USC includes an information session on the University and the Admission process, a student led walking tour of campus, and a meeting with us in the Viterbi School. During the engineering session we will discuss the curriculum, research opportunities, hands-on projects, entrepreneurial support programs, and other aspects of the engineering school. Meet USC is designed to answer all of your questions about USC, the application process, and financial aid.
Reservations are required for Meet USC. This program occurs twice, once at 8:30 a.m. and again at 12:30 p.m.
Please make sure to check availability and register online for the session you wish to attend. Also, remember to list an Engineering major as your \"intended major\" on the webform!
Audiences: Everyone Is Invited
Contact: Viterbi Admission
Wed, Jul 25, 2018 @ 09:00 AM - 01:00 PM
Viterbi School of Engineering K-12 STEM Center
Receptions & Special Events
Annual event where middle and high school students are introduced to various STEM fields by interacting with USC faculty, USC students and Industry Professionals. STEM areas covered are:
aerospace engineering, architecture, biology, biomedical engineering, chemical engineering, chemistry, civil engineering, computer science, earth science, electrical engineering, environmental science, industrial engineering, mathematics, mechanical engineering, neuroscience, physics, and spatial science
Location: Kaprielian Hall (KAP) -
Audiences: Middle and high school students
Wed, Jul 25, 2018 @ 02:00 PM - 04:00 PM
Thomas Lord Department of Computer Science
Title: From Active to Interactive 3D Object Recognition
Ph.D. Candidate: Bharath Sankaran
Date and Time: Wednesday, July 25th, 2Pm
Committee: Nora Ayanian (Chair), Gaurav Sukhatme, Geoffrey Spedding
If robots are to successfully migrate from controlled industrial settings to unstructured human environments, they should be capable of robust perception in densely cluttered, noisy environments, plagued with poor lighting. This will require robots to move towards building semantic representations of the environment by detecting objects of interest and accurately estimating their pose. In this thesis, I explore the use of movement and interaction to solve one of the fundamental problems of computer vision, object detection and pose estimation. I exploit the notion that perception is a process that is both active and exploratory and reformulate the problem of 3D object recognition as one of movement and interaction. I formalize these problems as information acquisition optimal control problems. I will present both myopic and non-myopic solutions to the information acquisition problem for 3D object recognition using tools from optimal control and inverse optimal control. I will also introduce efficient approximations to these optimal control problems by exploiting the nature of the information measure or exploiting the behavior of the static recognition system.
Audiences: Everyone Is Invited
Contact: Lizsl De Leon