Default Project by Roula Lagaditis Chosen Object: Bender-bot Using structured light, recovered front, back, right and left
Default Project Chosen Object: Bender-bot Mesh Aligning - Front and Back scanned images, using “rigid-alignment”
Default Project Chosen Object: Bender-bot Final recovered shape
CS117 Final Project Danny Miller 3 objects ~ 7 scans per object ~ 2 GB of pictures Idea – adding a green backdrop could make it easy to filter out the background Green tablecloth from Party City - 79¢
Part3: Estimating relationship between images. Image i’s sift pointsImage j’s.sift points Input: Find Correspondences (matches) Compute Essential matrix and remove outlier matches RANSAC E Remove incoherent matches based on a triangulation heuristic Remove bad matches With triangulation heuristic
CS 117 Project: Motion Capture By Blake Atkinson Materials 5 different colored sets of appx. 3v LEDs Electrical tape Glove 9v Batteries Red and Black Wire More patience than you have
Since the epipolar lines are calculated using the Fundamental Matrix, which is calculated from your initial SIFT points, they too should land on the epipolar lines. If not you’ve done something wrong. Here we have the SIFT points (red & yellow) and the corresponding epipolar lines (blue) based on those points. The left image gets it’s epipolar equations from the right points, and vice versa. Epipolar Geometry by Nick Schiffelbein
Automating Camera Calibration Sam Hallman But how do you solve for a matrix??