Results 41 to 50 of about 1,634,168 (383)

Backward adaptive pixel-based fast predictive motion estimation [PDF]

, 2009
This letter presents a novel backward adaptive pixel-based fast predictive motion estimation (BAPME) scheme for lossless video compression. Unlike the widely used block-matching motion estimation techniques, this method predicts the motion on a pixel-by ...
Canagarajah, CN, Chen, X, Nunez-Yanez, JL   +2 more
core   +2 more sources

Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation [PDF]

IEEE International Conference on Computer Vision, 2019
Estimating the 6D pose of objects using only RGB images remains challenging because of problems such as occlusion and symmetries. It is also difficult to construct 3D models with precise texture without expert knowledge or specialized scanning devices ...
Kiru Park, T. Patten, M. Vincze
semanticscholar   +1 more source

DIFFERENT METHODS FOR REMOTE SENSING DATA INTEGRATION [PDF]

Geodetski Glasnik, 2018
Nowadays remote sensing is an indispensable source of information about Earth's surface, primarily satellite-based remote sensing systems. Traditionally, the analysis of data collected from a particular area was based on the analysis of the data of one ...
Nedim Kulo
doaj   +1 more source

Model Based Change Detection of Water Body Using Landsat Imagery: A Case Study of Rajshahi Bangladesh

Environment and Natural Resources Journal, 2020
This study detected water bodies which included ponds, lakes, rivers, canals, irrigation land, etc. from Landsat TM (Thematic Mapper) and OLI (Operational Land Imager) data by Pixel Based Model (PBM) for the years 2000 to 2018 and identified the change ...
Tofayel Ahammad, Hafizur Rahaman, B.M. Refat Faisal, Nasrin Sultana   +3 more
doaj   +1 more source

Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector [PDF]

European Conference on Computer Vision, 2020
A domain adaptive object detector aims to adapt itself to unseen domains that may contain variations of object appearance, viewpoints or backgrounds. Most existing methods adopt feature alignment either on the image level or instance level.
Cheng-Chun Hsu, Yi-Hsuan Tsai, Yen-Yu Lin, Ming-Hsuan Yang   +3 more
semanticscholar   +1 more source

Novel readout circuit architecture for CMOS image sensors minimizing RTS noise [PDF]

, 2011
This letter presents a novel readout architecture and its associated readout sequence for complementary metal–oxide– semiconductor (CMOS) image sensors (CISs) based on switch biasing techniques in order to reduce noisy pixel numbers induced by in-pixel
Magnan, Pierre, Martin-Gonthier, Philippe   +1 more
core   +1 more source

Pixel Detectors

, 2005
Pixel detectors for precise particle tracking in high energy physics have been developed to a level of maturity during the past decade. Three of the LHC detectors will use vertex detectors close to the interaction point based on the hybrid pixel ...
Wermes, Norbert
core   +1 more source

Prototype ATLAS IBL Modules using the FE-I4A Front-End Readout Chip [PDF]

, 2012
The ATLAS Collaboration will upgrade its semiconductor pixel tracking detector with a new Insertable B-layer (IBL) between the existing pixel detector and the vacuum pipe of the Large Hadron Collider.
Albert, J., Alex, M., Alimonti, G., Allport, P., Altenheiner, S., Ancu, L.S., Andreazza, A., Arguin, J., Arutinov, D., Backhaus, M., Bagolini, A., Ballansat, J., Barbero, M., Barbier, G., Bates, R., Battistin, M., Baudin, P., Beau, T., Beccherle, R., Beck, H., Benoit, M., Bensinger, J., Bomben, M., Borri, M., Boscardin, M., Botelho-Direito, J., Bousson, N., Boyd, R.G., Breugnon, P., Bruni, G., Bruschi, M., Buchholz, P., Buttar, C., Cadoux, F., Calderini, G., Caminada, L., Capeans, M., Casse, G., Catinaccio, A., Cavalli-Sforza, M., Chauveau, J., Chu, M., Ciapetti, M., Cindro, V., Citterio, M., Clark, A., Cobal, M., Coelli, S., Colijn, A., Colin, D., Collot, J., Crespo-Lopez, O., Dalla Betta, G., Darbo, G., DaVia, C., David, P., Debieux, S., Delebecque, P., Devetak, E., DeWilde, B., Di Girolamo, G., Dinu, N., Dittus, F., Diyakov, D., Djama, F., Dobos, D., Doonan, K., Dopke, J., Dorholt, O., Dube, S., Dushkin, A., Dzahini, D., Egorov, K., Ehrmann, O., Elldge, D., Elles, S., Elsing, M., Eraud, L., Ereditato, A., Eyring, A., Falchieri, D., Falou, A., Fang, X., Fausten, C., Favre, Y., Ferrere, D., Fleta, C., Fleury, J., Flick, T., Forshaw, D., Fougeron, D., Fritzsch, T., Gabrielli, A., Gaglione, R., Gallrapp, C., Gan, K., Garcia-Sciveres, M., Gariano, G., Gastaldi, T., Gemme, C., Gensolen, F., George, M., Ghislain, P., Giacomini, G., Gibson, S., Giordani, M., Giugni, D., Gjersdal, H., Glitza, K., Gnani, D., Godlewski, J., Gonella, L., Gorelov, I., Gorisek, A., Gossling, C., Grancagnolo, S., Gray, H., Gregor, I., Grenier, P., Grinstein, S., Gromov, V., Grondin, D., Grosse-Knetter, J., Hansen, T., Hansson, P., Harb, A., Hartman, N., Hasi, J., Hegner, F., Heim, T., Heinemann, B., Hemperek, T., Hessey, N., Hetmanek, M., Hoeferkamp, M., Hostachy, J., Hugging, F., Husi, C., Iacobucci, G., Idarraga, J., Ikegami, Y., Janoska, Z., Jansen, J., Jansen, L., Jensen, F., Jentzsch, J., Joseph, J., Kagan, H., Karagounis, M., Kass, R., Kenney, C., Kersten, S., Kind, P., Klingenberg, R., Kluit, R., Kocian, M., Koffeman, E., Kok, A., Korchak, O., Korolkov, I., Kostyukhin, V., Krieger, N., Kruger, H., Kruth, A., Kugel, A., Kuykendall, W., La Rosa, A., Lai, C., Lantzsch, K., Laporte, D., Lapsien, T., Lounis, A., Lozano, M., Lu, Y., Lubatti, H., Macchiolo, A., Mallik, U., Mandic, I., Marchand, D., Marchiori, G., Masso, N., Matthias, W., Mattig, P., Mekkaoui, A., Menouni, M., Menu, J., Meroni, C., Mesa, J., Micelli, A., Micha, S., Miglioranzi, S., Mikuz, M., Mitsui, S., Monti, M., Moore, J., Morettini, P., Muenstermann, D., Murray, P., Nellist, C., Nelson, D., Nessi, M., Neumann, M., Nisius, R., Nordberg, M., Nuiry, F., Oppermann, H., Oriunno, M., Padilla, C., Parker, S., Pellegrini, G., Pelleriti, G., Pernegger, H., Piacquadio, N., Picazio, A., Pohl, D., Polini, A., Popule, J., Portell Bueso, X., Povoli, M., Puldon, D., Pylypchenko, Y., Quadt, A., Quirion, D., Ragusa, F., Rambure, T., Richards, E., Ristic, B., Rothermund, M., Rovani, A., Rozanov, A., Rubinskiy, I., Rudolph, M., Rummler, A., Ruscino, E., Røhne, O., Salek, D., Salzburger, A., Sandaker, H., Schipper, J., Schneider, B., Schorlemmer, A., Schroer, N., Schwemling, P., Seidel, S., Seiden, A., Sicho, P., Skubic, P., Sloboda, M., Smith, D., Sood, A., Spencer, E., Strang, M., Stugu, B., Stupak, J., Su, D., Takubo, Y., Tassan, J., Teng, P., Terada, S., Todorov, T., Tomasek, M., Toms, K., Travaglini, R., Trischuk, W., Troncon, C., Troska, G., Tsiskaridze, S., Tsurin, I., Tsybychev, D., Unno, Y., Vacavant, L., Verlaat, B., Vianello, E., Vigeolas, E., von Kleist, S., Vrba, V., Vuillermet, R., Wang, R., Watts, S., Weber, M., Weber, M., Weigell, P., Weingarten, J., Welch, S., Wenig, S., Wermes, N., Wiese, A., Wittig, T., Yildizkaya, T., Zeitnitz, C., Ziolkowski, M., Zivkovic, V., Zoccoli, A., Zorzi, N., Zwalinsk, L.   +294 more
core   +4 more sources

SVPA - THE SEGMENTATION BASED VISUAL PROCESSING ALGORITHM (SVPA) FOR ILLUSTRATION ENHANCEMENTS IN DIGITAL VIDEO PROCESSING (DVP)

ICTACT Journal on Image and Video Processing, 2022
At the present time photographic visual processing is rapidly moving towards the next stage. In addition, a variety of visual processing technologies are evolving, such as splitting image dimensions, calibration, pixel beautification, and high-resolution
J Logeshwaran, T Kiruthiga, V Aravindarajan, Sharan Pravin Ravi   +3 more
doaj   +1 more source

Hadamard single-pixel imaging versus Fourier single-pixel imaging

, 2017
Single-pixel imaging is an innovative imaging scheme and has received increasing attentions in recent years. It is applicable to imaging at non-visible wavelengths and imaging under low light conditions. However, single-pixel imaging has once encountered
Wang, Xueying, Zhang, Zibang, Zheng, Guoan, Zhong, Jingang   +3 more
core   +1 more source