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H.Y. Shum and R. Szeliski. Panoramic image mosaics. In Microsoft, 1997.

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Structure and Motion in Man-made Environments - Dick (1999)   (Correct)

....model the building using blocks, but also register each block in each image. An interactive system developed at Microsoft Research [27] allows the user to specify a variety of structural constraints, all of which are taken into account when reconstructing the model. Calibrated image mosaics (see [28]) are used rather than single images, which increases the stability of the reconstruction. However once more the complexity of the model is constrained by the willingness of the user to 21 specify these constraints in each mosaic. The Photobuilder system [6] also has the user specify some scene ....

H.Y. Shum and R. Szeliski. Panoramic image mosaics. Technical report, Microsoft Research, 1997. 68


Dealing with Speed and Robustness Issues for Video-Based.. - Cheng, Robinson (1998)   (2 citations)  (Correct)

....onto moving people in a room rather than the background of the room) Global image techniques estimate the motion of all pixels of the image, and typically make use of some kind of optical flow estimation or minimizing the overall squared difference between image frames. Examples include [13] and [18]. These algorithms produce precise results, and they are robust. Their strength lies in processing every pixel in the image frame. But as a result, many algorithmic operations are required per pixel, for solving a set of linear equations, computing the optical flow, estimating errors between ....

H. Shum and R. Szeliski, "Panoramic Image Mosaics," Microsoft Research Technical Report MSR-TR-97-23, 1997. Available at <ftp: //ftp.research.microsoft.com/pub/tr/tr-9723. ps>


View Planning for Site Modeling - Allen, Reed, Stamos (1998)   (4 citations)  (Correct)

....model and to make the initial associations between 2D imagery and the model. Teller et al. 15, 3] are developing a system to model outdoor urban scenes using 2 D imagery and large spherical mosaics. A number of other groups are also creating Image Based panoramas of outdoor scenes including [11, 6]. Our approach to automatic site modeling is fundamentally different from other systems. First, we are explicitly using range data to create the underlying geometric model of the scene. We have a developed a robust and accurate method to acquire and merge range scans into topologically correct ....

H. Shum and R. Szeliski. Panoramic image mosaics. Technical Report TR-97-23, Microsoft Research, 1997.


Multi-Projector Displays Using Camera-Based Registration - Raskar, Brown, Yang.. (1999)   (28 citations)  (Correct)

....1 Projector 3 Figure 4: The top image shows the overlap position of three projectors. The bottom images show the alpha masks created for projectors 1, 2, and 3 using our algorithm. Similar feathering techniques are used to mosaic multiple images taken by a camera into a single panoramic image [18]. However, such a target 2D panoramic image does not exist when projector images are blended on (possible nonplanar) display surfaces. Hence we use the 2D image of the display surface taken from a calibration camera and compute the intensity weights in this 2D camera image space. We transformed ....

....to the illuminated surface points by C i and C i 1 do not agree. Agreement is necessary, and we enforce it through a smooth 3D transition algorithm to obtain display surface continuity. Our present technique is similar to methods used to reduce intensity discontinuities in composited images [14][18]. However, instead of weighting pixel intensities, we weight their associated 3D location. As with our intensity blending algorithm, we use a single camera from a camera pair to aid 00 00 00 11 11 11 0 0 0 1 1 1 00 00 11 11 00 00 11 11 00 00 11 11 00 00 00 11 11 11 00 00 11 11 00 00 11 ....

H. Shum and R. Szeliski, "Panoramic Image Mosaics," Tech. Rep. MSR-TR-97-23, Microsoft Research, 1997.


Real-time Registration for Image Mosaicing - Noirfalise, Laprest, Jurie, Dhome (2002)   (Correct)

No context found.

H.Y. Shum and R. Szeliski. Panoramic image mosaics. In Microsoft, 1997.


Multiview Panoramic Cameras Using Mirror Pyramids - Tan, Hua, Ahuja (2002)   (Correct)

No context found.

H.-Y. Shum and R. Szeliski, "Panoramic image mosaics," Microsoft Research Technical Report, vol. MSR-TR-97-23, 1997.


Motion Analysis and Segmentation through Spatio-temporal.. - Ngo, Pong, Zhang (2003)   (Correct)

No context found.

H. Y. Shum & R. Szeliski, "Panoramic Image Mosaics," Technical Report MSR-TR-97-23, Microsoft Research, 1997.


Multiresolution Feature-Based Image Registration - Hsu, Beuker (2000)   (Correct)

No context found.

H. Y. Shum and R. Szeliski, "Panoramic Image Mosaics," Microsoft Research Technical Report MSR-TR-97023.


Panoramic EPI Generation and Analysis of Video from a Moving.. - Zhu, Xu, Lin   (Correct)

No context found.

H.-Y. Shum and R. Szeliski, Panoramic Image Mosaics, Microsoft Research, Technical Report, MSR-TR-97-23, 1997


Scalable Self-Calibrating Display Technology for Seamless.. - Surati (1999)   (14 citations)  (Correct)

No context found.

Shum, H, Szeliski, "Panoramic Image Mosaics" Microsoft Research Technical Report MSR-TR-97-23 67


Stereo Mosaics From a Moving Video Camera for.. - Zhu, Hanson.. (1999)   (Correct)

No context found.

. H.-Y. Shum, R. Szeliski, Panoramic Image Mosaics, Microsoft Research, Technical Report, MSR-TR-97-23, 1997

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