PPT-Encoding Stereo Images Christopher Li,

Idoia Ochoa and Nima Soltani Outline System overview Detailed encoder description Demonstration Results Extensions Conclusions System Overview Encoder R L DWT Quant Arith. 01 THDN 700W 1200W 1400W 2400W 2800W 20Hz20kHz 01 THDN 650W 1100W 1100W 2200W 2200W Figures are watts per channel both channels driven Product Description The Crest Audio CA12 professional power amplifier is designed to achieve unsurpassed sonic perf Pat Nicholson* and Rajeev Raman**. *. MPII. ** . University of Leicester. Input Data. (Relatively Big). déjà vu: The Encoding Approach. déjà vu: The Encoding Approach. Input Data. (Relatively Big). Many slides adapted from Steve Seitz. Binocular stereo. Given a calibrated binocular stereo pair, fuse it to produce a depth image. Where does the depth information come from?. Binocular stereo. Given a calibrated binocular stereo pair, fuse it to produce a depth image. Gradients. Slice selection. Frequency encoding. Phase encoding. Sampling . Data collection. Introduction. Encoding means the location of the MR signal and positioning it on the correct place in the image. Stereo and Multiple . View Geometry. Presented by. Radhakrishna Dasari . Contents. Stereo Practical Demo. Camera Intrinsic and Extrinsic parameters. Essential and Fundamental Matrix. Multiple View . Geometry. Encoding: Getting Information In. How We Encode. Automatic Processing. Parallel processing. Automatic processing. Space. Time. Frequency. Well-learned information. Encoding: Getting Information In. How We Encode. Many slides drawn from Lana . Lazebnik. , UIUC. Basic stereo matching algorithm. For each pixel in the first image. Find corresponding . epipolar. line in the right image. Examine all pixels on the . Shading. [Figure from Prados & Faugeras 2006]. Focus/defocus. [figs from H. Jin and P. Favaro, 2002]. Images from same point of view, different camera parameters. 3d shape / depth estimates. Texture. Read through both texts. Annotate your thoughts. Questions . Connections. Confusions. Clarifications. Poetic devices. Opinions. Images (draw a picture). Favorite lines. You have 7 minutes to review the texts and jot down your thoughts. Geometry. Various slides from previous courses by: . D.A. Forsyth (Berkeley / UIUC), I. Kokkinos (. Ecole. Centrale / UCL). S. . Lazebnik. (UNC / UIUC), S. Seitz (MSR / Facebook), J. Hays (Brown / Georgia Tech), A. Berg (Stony Brook / UNC), D. Samaras (Stony Brook) . J. M. . Estimate . Dpeth. .. Leonardo da Vinci. Wheatstone.. Aerial Photography.. Julesz. Random Dot Stereograms. . Detect objects in camouflage?. Geometry of Stereo: Depth by Triangulation. Estimate Depth by Trigonometry:. Several slides from Larry . Zitnick. and Steve Seitz. Why do we perceive depth?. What do humans use as depth cues?. Convergence . When watching an object close to us, our eyes point slightly inward. This difference in the direction of the eyes is called convergence. This depth cue is effective only on short distances (less than 10 meters). . This in-depth guide covers everything you need to know when choosing a single din car stereo head unit, from key features to look for, top brands on the market, installation considerations, and how upgrading to a touchscreen Bluetooth model can improve your driving experience. Several slides from Larry . Zitnick. and Steve Seitz. Why do we perceive depth?. What do humans use as depth cues?. Convergence . When watching an object close to us, our eyes point slightly inward. This difference in the direction of the eyes is called convergence. This depth cue is effective only on short distances (less than 10 meters). .