PPT-Reading Between The Lines: Object Localization

Using Implicit Cues from Image Tags Sung Ju Hwang and Kristen Grauman University of Texas at Austin Jingnan Li Ievgeniia Gutenko Baby Infant Kid Child Headphones Red Cute Laughing. ALPHABET OF LINES. CONSTRUCTION BLUEPRINT READING. Drawings contain many types of drafting lines. . The basic straight line as seen . in this . slide can be emphasized by the weight of the line, these lines are called . Introduction to Drafting and Design. What is the Alphabet of Lines?. Developed by the American Society of Mechanical Engineers (ASME).. The Alphabet of Lines is used to make a drawing neater and clearer to understand.. Natchanon. . Wongwilai. Adviser: . Nattee. . Niparnan. , Ph.D.. M.Eng. .. 1. Outline. Introduction. How to grasp?, Why failed to grasp?, Goal. Related Works. Vision-based grasping, Manipulation under uncertainty. www.highpoint.edu. /~. afuller. /PHY-1050. Pre. -Lecture Quiz:. MasteringAstronomy. Ch15 . pre-lecture quiz due . February 17. MasteringAstronomy. . Ch16 . pre-lecture quiz due . March 10. Homework: . Learning Objectives. Understand why WSNs need localization protocols. Understand localization protocols in WSNs. Understand secure localization protocols. Prerequisites. Module 7. Basic concepts of network security. Unit 1 ~ How They Work. Lesson 1 ~ Exploring Technological Systems. Technical Sketching. Sketching Introduction. Sketching is a freehand drawing process that allows detailers, designers, engineers, architects, technicians and trades persons to record their ideas quickly on paper without the use of tools. Once they have recorded their ideas, they can revise and refine their sketches for presentation to their supervisors or clients. Sketching is also helpful in preliminary planning of a drawing or layout before using tools.. of . head.txt. Data capture. Data for the head figure was captured by a laser scanner.. The object is mounted on a turntable, and illuminated by a laser stripe. The stripe forms a line image in a camera retina. Because laser projector and camera are not in line, the line image is not straight, but “wiggles” according to object depth.. David Johnson. cs6370. Basic Problem. Go from this to this. [Thrun, Burgard & Fox (2005)]. . Kalman . Filter. [Thrun, Burgard & Fox (2005)]. . Kalman Limitations. Need initial state and confidence. Object Localization. Goal: detect the location of an object within an image. Fully supervised:. Training data labeled with object category and ground truth bounding boxes. Weakly supervised:. Only object category is known, no location info. Gabriel Robins and . Kirti Chawla. Department of Computer Science. robins@cs.virginia.edu kirti@cs.virginia.edu. Outline. Problem: Object Localization. Prior Art. RFID Technology Primer. Our Localization Approach. Anatomy of the DAT. Section. Optional Tutorial. Survey of Natural Sciences. Biology. Gen . Chem. O . Chem. Perceptual Ability Test. Keyhole. Top/Front/End. Angle Ranking. Hole Punches. Cube Counting. Anatomy of the DAT. Section. Optional Tutorial. Survey of Natural Sciences. Biology. Gen . Chem. O . Chem. Perceptual Ability Test. Keyhole. Top/Front/End. Angle Ranking. Hole Punches. Cube Counting. Krishna Kumar Singh, Yong Jae Lee. University of California, Davis. Standard supervised object detection. Annotators. Detection models. car. [. Felzenszwalb. et al. PAMI 2010, . Girshick. et al. CVPR 2014, . Interpret plans, diagrams, and working drawings. .. Apply appropriate technical and graphic communication in the technological systems. .. Identify Line Types for the Alphabet of Lines. Construct lines properly on drawings..